| Title: | Identifies Package Differences |
|---|---|
| Description: | Identifies differences between versions of a package. Specifically, the functions help determine if there are breaking changes from one package version to the next. The package also includes a stability assessment, to help you determine the overall stability of a package, or even an entire repository. |
| Authors: | David Bosak [aut, cre], Brian Varney [ctb], Kevin Putschko [ctb] |
| Maintainer: | David Bosak <[email protected]> |
| License: | CC0 |
| Version: | 0.2.0 |
| Built: | 2025-03-16 22:49:45 UTC |
| Source: | https://github.com/dbosak01/pkgdiff |
The pkg_cache function queries the package cache, and
returns information on which packages are included in the cache.
The function also returns the last version of the package cached.
pkg_cache(pkgs = NULL)pkg_cache(pkgs = NULL)
pkgs |
A vector of package names to retrieve cache information about. Default is NULL, which means to return all packages in the cache. |
The pkgdiff cache is used to speed up pkgdiff functions.
Information about each package is pre-processed and stored in the cache
on Github. The functions then retrieve this pre-processed information
instead of pulling packages down from CRAN. To learn more about the cache,
refer to vignette('pkgdiff-cache').
An data frame showing the package name and latest package version stored in the cache. If the package is not stored in the cache, the package version will be NA. The "Last Update" time stamp is the last day and time the cache was updated.
Other pdiff:
pkg_diff(),
pkg_info(),
pkg_stability(),
pkg_versions(),
print.pcache(),
print.pdiff(),
print.pdiff_score(),
print.pinfo()
# View single package pkg_cache("dplyr") # # A package cache object # - Last Update: 2025-02-25 14:58 UTC # - Packages: # Package Version # 1 dplyr 1.1.4 # View multiple packages pkgs <- c("dplyr", "tidyr", "stringr") pkg_cache(pkgs) # # A package cache object # - Last Update: 2025-02-25 14:58 UTC # - Packages: # Package Version # 1 dplyr 1.1.4 # 2 tidyr 1.3.1 # 3 stringr 1.5.1 # Get all packages res <- pkg_cache() # View first 10 res[1:10, ] # A package cache object # - Last Update: 2025-02-25 14:58 UTC # - Packages: # Package Version # 1 A3 1.0.0 # 2 abbreviate 0.1 # 3 abc.data 1.1 # 4 abc 2.2.2 # 5 ABCanalysis 1.2.1 # 6 abd 0.2-8 # 7 abind 1.4-8 # 8 acepack 1.6.1 # 9 actuar 3.3-5 # 10 ada 2.0-5# View single package pkg_cache("dplyr") # # A package cache object # - Last Update: 2025-02-25 14:58 UTC # - Packages: # Package Version # 1 dplyr 1.1.4 # View multiple packages pkgs <- c("dplyr", "tidyr", "stringr") pkg_cache(pkgs) # # A package cache object # - Last Update: 2025-02-25 14:58 UTC # - Packages: # Package Version # 1 dplyr 1.1.4 # 2 tidyr 1.3.1 # 3 stringr 1.5.1 # Get all packages res <- pkg_cache() # View first 10 res[1:10, ] # A package cache object # - Last Update: 2025-02-25 14:58 UTC # - Packages: # Package Version # 1 A3 1.0.0 # 2 abbreviate 0.1 # 3 abc.data 1.1 # 4 abc 2.2.2 # 5 ABCanalysis 1.2.1 # 6 abd 0.2-8 # 7 abind 1.4-8 # 8 acepack 1.6.1 # 9 actuar 3.3-5 # 10 ada 2.0-5
The pkg_diff function is used to compare two different versions of
a package. The function returns an object that contains the differences.
Differences include any functions added or removed, and any function parameters
added or removed. The object may
be printed directly, or stored in a variable and examined programmatically.
pkg_diff(pkg, v1 = "current", v2 = "latest")pkg_diff(pkg, v1 = "current", v2 = "latest")
pkg |
The package name. |
v1 |
The earlier package version. Pass the version value as a quoted string. Default is "current", which means the function will look up the currently installed version. |
v2 |
The later package version. Pass the version value as a quoted string. The default is "latest", which is the latest version of the package available on CRAN. |
The difference operation only compares functions that are exported from the package. It does not compare internal functions or function documentation. Exported functions are identified in the package namespace.
The pkg_diff function can compare any two versions of a package.
They do not need to be consecutive. They must, however, exist in the CRAN
archive.
If the package versions are included in the pkgdiff cache, the function will pull them from there. Otherwise, they will be pulled from the CRAN mirror. The function does not access any packages on the local system.
An object of class "pdiff", which contains information regarding the differences between two versions of a package. The object includes a list of functions that were added, a list of function parameters that were added, a list of functions removed, and a list of function parameters that were removed. The object also contains some general information like the package versions examined, and a TRUE or FALSE flag indicating whether there were any breaking changes.
Other pdiff:
pkg_cache(),
pkg_info(),
pkg_stability(),
pkg_versions(),
print.pcache(),
print.pdiff(),
print.pdiff_score(),
print.pinfo()
# View package stability pkg_stability("rsample") # # A stability score: rsample package # - Age: 7.58 years # - Score: 80.3 # - Assessment: Somewhat Unstable # - Version Range: 0.0.1/1.2.1 # - Release Range: 2017-07-08/2024-03-25 # - Release Count: 16 # - Breaking Releases: 6 # - Data: # Package Version FileName Release Size AF AP RF RP BC TF # 1 rsample 1.2.1 rsample_1.2.1.tar.gz 2024-03-25 320.9K 1 0 0 0 0 401 # 2 rsample 1.2.0 rsample_1.2.0.tar.gz 2023-08-23 321K 43 6 1 3 1 400 # 3 rsample 1.1.1 rsample_1.1.1.tar.gz 2022-12-07 318K 37 5 0 0 0 358 # 4 rsample 1.1.0 rsample_1.1.0.tar.gz 2022-08-08 306K 72 1 0 0 0 321 # 5 rsample 1.0.0 rsample_1.0.0.tar.gz 2022-06-24 268K 1 0 1 0 1 249 # 6 rsample 0.1.1 rsample_0.1.1.tar.gz 2021-11-08 274K 4 1 0 1 1 249 # 7 rsample 0.1.0 rsample_0.1.0.tar.gz 2021-05-08 274K 0 5 0 0 0 245 # 8 rsample 0.0.9 rsample_0.0.9.tar.gz 2021-02-17 269K 19 0 6 0 1 245 # 9 rsample 0.0.8 rsample_0.0.8.tar.gz 2020-09-23 261K 59 0 0 0 0 232 # 10 rsample 0.0.7 rsample_0.0.7.tar.gz 2020-06-04 248K 101 1 0 0 0 173 # 11 rsample 0.0.6 rsample_0.0.6.tar.gz 2020-03-31 299K 7 2 0 0 0 72 # 12 rsample 0.0.5 rsample_0.0.5.tar.gz 2019-07-13 297K 4 5 0 0 0 65 # 13 rsample 0.0.4 rsample_0.0.4.tar.gz 2019-01-07 254K 0 0 4 0 1 61 # 14 rsample 0.0.3 rsample_0.0.3.tar.gz 2018-11-20 254K 7 0 1 0 1 65 # 15 rsample 0.0.2 rsample_0.0.2.tar.gz 2017-11-12 339K 24 0 0 0 0 59 # 16 rsample 0.0.1 rsample_0.0.1.tar.gz 2017-07-08 180K 35 35 0 0 0 35 # Examine differences between versions pkg_diff("rsample", "1.1.1", "1.2.0") # # A difference object: rsample package # - Comparing: v1.1.1/v1.2.0 # - Breaking Changes: TRUE # - Added Functions: # - analysis.default() # - analysis.initial_validation_split() # - analysis.rsplit() # - analysis.val_split() # - assessment.default() # - assessment.initial_validation_split() # - assessment.rsplit() # - assessment.val_split() # - dim.initial_validation_split() # - group_initial_validation_split() # - initial_validation_split() # - initial_validation_time_split() # - int_bca.bootstraps() # - int_pctl.bootstraps() # - int_t.bootstraps() # - print.initial_validation_split() # - testing.default() # - testing.initial_validation_split() # - testing.rsplit() # - testing.val_split() # - training.default() # - training.initial_validation_split() # - training.rsplit() # - training.val_split() # - validation() # - validation.default() # - validation.initial_validation_split() # - validation.val_split() # - validation_set() # - vec_cast.data.frame.validation_set() # - vec_cast.tbl_df.validation_set() # - vec_cast.validation_set.data.frame() # - vec_cast.validation_set.tbl_df() # - vec_cast.validation_set.validation_set() # - vec_ptype_abbr.group_initial_validation_split() # - vec_ptype_abbr.initial_validation_split() # - vec_ptype_abbr.validation_set() # - vec_ptype2.data.frame.validation_set() # - vec_ptype2.tbl_df.validation_set() # - vec_ptype2.validation_set.data.frame() # - vec_ptype2.validation_set.tbl_df() # - vec_ptype2.validation_set.validation_set() # - vec_restore.validation_set() # - Added Parameters: # - int_pctl(): ... # - int_t(): ... # - testing(): ... # - tidy.nested_cv(): unique_ind # - tidy.rset(): unique_ind # - training(): ... # - Removed Functions: # - gather() # - Removed Parameters: # - int_bca(): statistics, alpha, .fn # - int_pctl(): statistics, alpha # - int_t(): statistics, alpha# View package stability pkg_stability("rsample") # # A stability score: rsample package # - Age: 7.58 years # - Score: 80.3 # - Assessment: Somewhat Unstable # - Version Range: 0.0.1/1.2.1 # - Release Range: 2017-07-08/2024-03-25 # - Release Count: 16 # - Breaking Releases: 6 # - Data: # Package Version FileName Release Size AF AP RF RP BC TF # 1 rsample 1.2.1 rsample_1.2.1.tar.gz 2024-03-25 320.9K 1 0 0 0 0 401 # 2 rsample 1.2.0 rsample_1.2.0.tar.gz 2023-08-23 321K 43 6 1 3 1 400 # 3 rsample 1.1.1 rsample_1.1.1.tar.gz 2022-12-07 318K 37 5 0 0 0 358 # 4 rsample 1.1.0 rsample_1.1.0.tar.gz 2022-08-08 306K 72 1 0 0 0 321 # 5 rsample 1.0.0 rsample_1.0.0.tar.gz 2022-06-24 268K 1 0 1 0 1 249 # 6 rsample 0.1.1 rsample_0.1.1.tar.gz 2021-11-08 274K 4 1 0 1 1 249 # 7 rsample 0.1.0 rsample_0.1.0.tar.gz 2021-05-08 274K 0 5 0 0 0 245 # 8 rsample 0.0.9 rsample_0.0.9.tar.gz 2021-02-17 269K 19 0 6 0 1 245 # 9 rsample 0.0.8 rsample_0.0.8.tar.gz 2020-09-23 261K 59 0 0 0 0 232 # 10 rsample 0.0.7 rsample_0.0.7.tar.gz 2020-06-04 248K 101 1 0 0 0 173 # 11 rsample 0.0.6 rsample_0.0.6.tar.gz 2020-03-31 299K 7 2 0 0 0 72 # 12 rsample 0.0.5 rsample_0.0.5.tar.gz 2019-07-13 297K 4 5 0 0 0 65 # 13 rsample 0.0.4 rsample_0.0.4.tar.gz 2019-01-07 254K 0 0 4 0 1 61 # 14 rsample 0.0.3 rsample_0.0.3.tar.gz 2018-11-20 254K 7 0 1 0 1 65 # 15 rsample 0.0.2 rsample_0.0.2.tar.gz 2017-11-12 339K 24 0 0 0 0 59 # 16 rsample 0.0.1 rsample_0.0.1.tar.gz 2017-07-08 180K 35 35 0 0 0 35 # Examine differences between versions pkg_diff("rsample", "1.1.1", "1.2.0") # # A difference object: rsample package # - Comparing: v1.1.1/v1.2.0 # - Breaking Changes: TRUE # - Added Functions: # - analysis.default() # - analysis.initial_validation_split() # - analysis.rsplit() # - analysis.val_split() # - assessment.default() # - assessment.initial_validation_split() # - assessment.rsplit() # - assessment.val_split() # - dim.initial_validation_split() # - group_initial_validation_split() # - initial_validation_split() # - initial_validation_time_split() # - int_bca.bootstraps() # - int_pctl.bootstraps() # - int_t.bootstraps() # - print.initial_validation_split() # - testing.default() # - testing.initial_validation_split() # - testing.rsplit() # - testing.val_split() # - training.default() # - training.initial_validation_split() # - training.rsplit() # - training.val_split() # - validation() # - validation.default() # - validation.initial_validation_split() # - validation.val_split() # - validation_set() # - vec_cast.data.frame.validation_set() # - vec_cast.tbl_df.validation_set() # - vec_cast.validation_set.data.frame() # - vec_cast.validation_set.tbl_df() # - vec_cast.validation_set.validation_set() # - vec_ptype_abbr.group_initial_validation_split() # - vec_ptype_abbr.initial_validation_split() # - vec_ptype_abbr.validation_set() # - vec_ptype2.data.frame.validation_set() # - vec_ptype2.tbl_df.validation_set() # - vec_ptype2.validation_set.data.frame() # - vec_ptype2.validation_set.tbl_df() # - vec_ptype2.validation_set.validation_set() # - vec_restore.validation_set() # - Added Parameters: # - int_pctl(): ... # - int_t(): ... # - testing(): ... # - tidy.nested_cv(): unique_ind # - tidy.rset(): unique_ind # - training(): ... # - Removed Functions: # - gather() # - Removed Parameters: # - int_bca(): statistics, alpha, .fn # - int_pctl(): statistics, alpha # - int_t(): statistics, alpha
Combines information related to a package. Objects of this class are used by several other functions in the pkgdiff system. This class also makes a compact storage format for pre-processed package information.
pkg_info(pkg, ver = "current", cache = TRUE)pkg_info(pkg, ver = "current", cache = TRUE)
pkg |
The package name as a quoted string. This parameter is required. |
ver |
The version of the package to retrieve information for. Pass the version as a quoted string. Special values are "current" and "latest". The value "current" is the current version of the package running on the machine. The value "latest" is the latest version of the package from CRAN. |
cache |
Whether to retrieve the info from the Github cache, or from CRAN. If TRUE, the function will first search the cache, and return the info if available. If the info is not available in the Github cache, or the cache parameter is set to FALSE, the info will be retrieved from CRAN. |
Package information is unique for each version of a package. Since a package can have multiple versions, you must select which version you wish to return information for. By default, the version returned is the current version of the package on the current machine. You may also specify a previous version number from the CRAN archive. Another option is to specify the latest version on CRAN. See the "ver" parameter for additional details on how to select these different package versions.
The package info object contains a list of functions and function
parameters associated with the specified version of the package.
You may access this list using the $Functions item name.
Most other information contained in the info object is retrieved from the package description file. One exception is the downloads per month. This information is retrieved from CRAN logs.
In addition, the package cache status is appended to the info object. The package cache status indicates whether the package info has been stored in the pkgdiff Github cache. Packages that have been stored in the cache enjoy faster results from pkgdiff functions.
Note that pkg_info and other pkgdiff functions
only work with contributed CRAN packages. They do not
work with Base R packages.
A package information object of class "pinfo". This object contains a set of general information about the package, such as the version, release date, maintainer, title, etc. Most of this information comes from the package description file. In addition, the info object also contains a list of functions in the package and their parameters.
If the package has been archived on CRAN, info will be returned, but the "Archived" flag will be set to TRUE. If the package is not found on CRAN, the function will emit a message and return NULL.
If the package is a Base R package, a reduced number of fields will be returned,
and the package will be marked with Base Package: TRUE. Function
lists are not available for Base packages.
Other pdiff:
pkg_cache(),
pkg_diff(),
pkg_stability(),
pkg_versions(),
print.pcache(),
print.pdiff(),
print.pdiff_score(),
print.pinfo()
# View package info pkg_info("glue") # A package info object: glue package # - Version: v1.7.0 # - Release Date: 2024-01-09 # - Title: Interpreted String Literals # - Maintainer: Jennifer Bryan <[email protected]> # - License: MIT + file LICENSE # - Description: An implementation of interpreted string literals, inspired by # Python's Literal String Interpolation # <https://www.python.org/dev/peps/pep-0498/> and Docstrings # <https://www.python.org/dev/peps/pep-0257/> and Julia's Triple-Quoted # String Literals # <https://docs.julialang.org/en/v1.3/manual/strings/#Triple-Quoted-String-Literals-1>. # - Depends: R (>= 3.6) # - Imports: methods # - Suggests: crayon, DBI (>= 1.2.0), dplyr, knitr, magrittr, rlang, # rmarkdown, RSQLite, testthat (>= 3.2.0), vctrs (>= 0.3.0), # waldo (>= 0.3.0), withr # - Downloads/Month: 1463244 # - Repository: CRAN # - Cached: TRUE # - Functions: 24 # Get info object res <- pkg_info("glue") # Extract package version res$Version # [1] "1.7.0" # Extract maintainer res$Maintainer # [1] "Jennifer Bryan <[email protected]>" # Extract function list res$Functions # $`[.glue` # [1] "x" "i" "..." # # $`[[.glue` # [1] "x" "i" "..." # # $`+.glue` # [1] "e1" "e2" # # $as.character.glue # [1] "x" "..." # # $as_glue # [1] "x" "..." # # $as_glue.character # [1] "x" "..." # # $as_glue.default # [1] "x" "..." # # $as_glue.glue # [1] "x" "..." # # $backtick # [1] "x" # # $double_quote # [1] "x" # # $glue # [1] "..." ".sep" ".envir" # [4] ".open" ".close" ".na" # [7] ".null" ".comment" ".literal" # [10] ".transformer" ".trim" # ...# View package info pkg_info("glue") # A package info object: glue package # - Version: v1.7.0 # - Release Date: 2024-01-09 # - Title: Interpreted String Literals # - Maintainer: Jennifer Bryan <[email protected]> # - License: MIT + file LICENSE # - Description: An implementation of interpreted string literals, inspired by # Python's Literal String Interpolation # <https://www.python.org/dev/peps/pep-0498/> and Docstrings # <https://www.python.org/dev/peps/pep-0257/> and Julia's Triple-Quoted # String Literals # <https://docs.julialang.org/en/v1.3/manual/strings/#Triple-Quoted-String-Literals-1>. # - Depends: R (>= 3.6) # - Imports: methods # - Suggests: crayon, DBI (>= 1.2.0), dplyr, knitr, magrittr, rlang, # rmarkdown, RSQLite, testthat (>= 3.2.0), vctrs (>= 0.3.0), # waldo (>= 0.3.0), withr # - Downloads/Month: 1463244 # - Repository: CRAN # - Cached: TRUE # - Functions: 24 # Get info object res <- pkg_info("glue") # Extract package version res$Version # [1] "1.7.0" # Extract maintainer res$Maintainer # [1] "Jennifer Bryan <[email protected]>" # Extract function list res$Functions # $`[.glue` # [1] "x" "i" "..." # # $`[[.glue` # [1] "x" "i" "..." # # $`+.glue` # [1] "e1" "e2" # # $as.character.glue # [1] "x" "..." # # $as_glue # [1] "x" "..." # # $as_glue.character # [1] "x" "..." # # $as_glue.default # [1] "x" "..." # # $as_glue.glue # [1] "x" "..." # # $backtick # [1] "x" # # $double_quote # [1] "x" # # $glue # [1] "..." ".sep" ".envir" # [4] ".open" ".close" ".na" # [7] ".null" ".comment" ".literal" # [10] ".transformer" ".trim" # ...
The pkg_repo function combines information related to a package repository.
The function retrieves all the packages in a repository for a specified version
of R. Results will list the package name and version.
pkg_repo(pkgs = NULL, ver = "current", libpaths = NULL)pkg_repo(pkgs = NULL, ver = "current", libpaths = NULL)
pkgs |
A vector of package names used to subset the repository list. Default is NULL, which means all packages in the repository will be returned. |
ver |
The R version of the repository. Pass the R version as a quoted string. Default is "current", meaning the current version of the repository. The value "latest" will return the latest versions on CRAN. |
libpaths |
A vector of paths specifying the locations of the repositories
to query. Default
is NULL, meaning the function will use the default R locations on the machine.
These default paths are identified by the Base R function |
An object of class "prepo". The object will contain a data
frame of R packages with corresponding version numbers. This table
may then be passed to repo_breakages or
repo_stability.
If a package is not found in the repo, a row will still be returned for the package. However, the version will appear as NA.
Other prepo:
print.prepo(),
print.rbreak(),
print.rstability(),
repo_breakages(),
repo_stability()
# Create vector of packages pkgs <- c("common", "dplyr", "rvest", "stringr") # Retrieve latest versions pkg_repo(pkgs, ver = "latest") # # A package repo object # - Repo Version: latest # - Packages: # Package Version # 1 common 1.1.3 # 2 dplyr 1.1.4 # 3 rvest 1.0.4 # 4 stringr 1.5.1# Create vector of packages pkgs <- c("common", "dplyr", "rvest", "stringr") # Retrieve latest versions pkg_repo(pkgs, ver = "latest") # # A package repo object # - Repo Version: latest # - Packages: # Package Version # 1 common 1.1.3 # 2 dplyr 1.1.4 # 3 rvest 1.0.4 # 4 stringr 1.5.1
The pkg_stablity function calculates a stability score for
a specified package. The score is calculated as the percentage of
releases with no breaking changes. A breaking change is defined as
either a removed function or removed function parameter. The object
also returns the raw data from which the stability score is calculated.
This data can be useful for review or even custom analytics.
pkg_stability(pkg, releases = NULL, months = NULL)pkg_stability(pkg, releases = NULL, months = NULL)
pkg |
The name of the package. |
releases |
An integer indicating the number of releases to collect
stability data for. For example, |
months |
An integer indicating the number of months back to collect
stability data for. For example, |
The pkg_stability function is used to get an overall feel for the
stability of a package. The stability score and other information returned
by the function are based on data retrieved from CRAN. The function
compares each version of a package and determines if any functions or
function parameters have been removed from the previous release.
If a release removes functions or parameters contained in the previous release,
it is flagged as a "breaking release" or "breaking change".
The stability score is calculated as the percentage of non-breaking releases. For example, if a package has 10 releases, and one breaking release, the stability score will be .9, or 90%.
The stability assessment is a categorization of the stability score. The aim of the assessment is to provide a general evaluation of the package, whether it is stable or unstable. The assessment has 5 categories:
Perfect: Stability score of 100. Package has never had a breaking release in its entire history.
Very Stable: Stability score between 95 and 100. Package has had a breaking release, but very rarely: less than 1 in 20 releases.
Stable: Stability score between 90 and 95. The package has had some breaking releases, but it is still rather rare: less than 1 in 10 releases.
Somewhat unstable: Stability score between 80 and 90. The package sometimes has a breaking release, at a rate of about 1 in 5.
Unstable: Stability score below 80. The package breaks more frequently than every 5th release. This frequency of breaking releases is considered unstable.
As can be seen above, the stability assessment is weighted heavily toward the high end. This categorization is intentionally designed to encourage package stability, and discourage the number of breaking changes.
An stability score object of class "pdiff_score". The object contains the stability score, plus other useful information such as the release and version ranges, the number of releases, and number of breaking releases. All of these items can be accessed using dollar sign ($) syntax.
Stability calculations are based on a data frame of stability information gathered from each package release. The data frame has one row per release. Each row contains comparison information against the prior release. The columns are organized as follows:
Package: The package name.
Version: The version number of the release.
FileName: The file name of the package.
Release: The release date of the package.
Size: The size of the package file on disk.
AF: The number of functions added from the previous release.
AP: The number of functions that had parameters added from the previous release.
RF: The number of functions removed from the previous release.
RP: The number of functions that had parameters removed from the previous release.
BC: Whether the release had any breaking changes. Breaking changes are removed functions or removed parameters. Values are zero or one. The value one (1) means the release had breaking changes. The value zero (0) means the release had no breaking changes.
TF: The total number of functions in the package.
The above data will be included in the function print out. It can also be
accessed on the returned object from the "data" list item, i.e.
obj$data.
Note that a "breaking release" does not factor in the number of functions deprecated. One deprecated function counts the same as 10 deprecated functions within a release. The methodology also does not differentiate between removed functions and removed parameters. They are both considered "breaking", and counted equally.
The methodology also does not factor in changed functions. The reason is simply that it is much more difficult to identify whether or not a changed function is breaking. That is to say, you may still have breaking changes that are not identified by the pkgdiff package.
Performance of the pkg_stability function
can vary greatly depending on the package selected. The information
for some packages has been cached on Github, and can be retrieved very
quickly. For packages that have not been cached, the function must
download each version of the package from the CRAN archive, and compare
consecutive versions. This process can take considerable time.
The most popular packages on CRAN have been cached. If there is a package you query frequently that has not been cached, please submit an issue to the pkgdiff issue log on Github. In the issue description simply request that the package be added to the cache.
For more information on the package cache, see vignette("pkgdiff-cache").
For more information about how the stability score and assessment are
calculated, see vignette("pkgdiff-stability").
Other pdiff:
pkg_cache(),
pkg_diff(),
pkg_info(),
pkg_versions(),
print.pcache(),
print.pdiff(),
print.pdiff_score(),
print.pinfo()
# View package stability pkg_stability("curl") # # A stability score: curl package # - Age: 10.33 years # - Score: 98.0 # - Assessment: Very Stable # - Version Range: 0.2/6.2.1 # - Release Range: 2014-11-20/2025-02-19 # - Release Count: 51 # - Breaking Releases: 1 # - Data: # Package Version FileName Release Size AF AP RF RP BC TF # 1 curl 6.2.1 curl_6.2.1.tar.gz 2025-02-19 911.7K 0 0 0 0 0 46 # 2 curl 6.2.0 curl_6.2.0.tar.gz 2025-01-23 911.3K 0 1 0 0 0 46 # 3 curl 6.1.0 curl_6.1.0.tar.gz 2025-01-06 911K 0 1 0 0 0 46 # 4 curl 6.0.1 curl_6.0.1.tar.gz 2024-11-14 911K 0 0 0 0 0 46 # 5 curl 6.0.0 curl_6.0.0.tar.gz 2024-11-05 911K 1 1 0 1 1 46 # 6 curl 5.2.3 curl_5.2.3.tar.gz 2024-09-20 700K 0 0 0 0 0 45 # 7 curl 5.2.2 curl_5.2.2.tar.gz 2024-08-26 701K 0 0 0 0 0 45 # 8 curl 5.2.1 curl_5.2.1.tar.gz 2024-03-02 700K 0 0 0 0 0 45 # 9 curl 5.2.0 curl_5.2.0.tar.gz 2023-12-08 699K 1 0 0 0 0 45 # 10 curl 5.1.0 curl_5.1.0.tar.gz 2023-10-02 697K 0 1 0 0 0 44 # 11 curl 5.0.2 curl_5.0.2.tar.gz 2023-08-14 697K 0 0 0 0 0 44 # 12 curl 5.0.1 curl_5.0.1.tar.gz 2023-06-08 697K 0 1 0 0 0 44 # 13 curl 5.0.0 curl_5.0.0.tar.gz 2023-01-12 666K 1 1 0 0 0 44 # 14 curl 4.3.3 curl_4.3.3.tar.gz 2022-10-06 655K 0 0 0 0 0 43 # 15 curl 4.3.2 curl_4.3.2.tar.gz 2021-06-23 775K 0 0 0 0 0 43 # 16 curl 4.3.1 curl_4.3.1.tar.gz 2021-04-30 775K 0 0 0 0 0 43 # 17 curl 4.3 curl_4.3.tar.gz 2019-12-02 658K 0 0 0 0 0 43 # 18 curl 4.2 curl_4.2.tar.gz 2019-09-24 652K 0 0 0 0 0 43 # 19 curl 4.1 curl_4.1.tar.gz 2019-09-16 652K 0 1 0 0 0 43 # 20 curl 4.0 curl_4.0.tar.gz 2019-07-22 370K 3 0 0 0 0 43 # 21 curl 3.3 curl_3.3.tar.gz 2019-01-10 363K 2 0 0 0 0 40 # 22 curl 3.2 curl_3.2.tar.gz 2018-03-28 358K 0 0 0 0 0 38 # 23 curl 3.1 curl_3.1.tar.gz 2017-12-12 358K 0 0 0 0 0 38 # 24 curl 3.0 curl_3.0.tar.gz 2017-10-06 403K 1 2 0 0 0 38 # 25 curl 2.8.1 curl_2.8.1.tar.gz 2017-07-22 400K 0 1 0 0 0 37 # 26 curl 2.7 curl_2.7.tar.gz 2017-06-26 397K 1 1 0 0 0 37 # 27 curl 2.6 curl_2.6.tar.gz 2017-04-27 396K 0 1 0 0 0 36 # 28 curl 2.5 curl_2.5.tar.gz 2017-04-14 396K 1 0 0 0 0 36 # 29 curl 2.4 curl_2.4.tar.gz 2017-03-24 394K 2 0 0 0 0 35 # 30 curl 2.3 curl_2.3.tar.gz 2016-11-24 391K 0 0 0 0 0 33 # 31 curl 2.2 curl_2.2.tar.gz 2016-10-21 389K 0 0 0 0 0 33 # 32 curl 2.1 curl_2.1.tar.gz 2016-09-22 388K 0 0 0 0 0 33 # 33 curl 2.0 curl_2.0.tar.gz 2016-09-17 389K 10 0 0 0 0 33 # 34 curl 1.2 curl_1.2.tar.gz 2016-08-13 287K 0 0 0 0 0 23 # 35 curl 1.1 curl_1.1.tar.gz 2016-07-26 277K 0 0 0 0 0 23 # 36 curl 1.0 curl_1.0.tar.gz 2016-07-24 277K 0 0 0 0 0 23 # 37 curl 0.9.7 curl_0.9.7.tar.gz 2016-04-10 258K 0 0 0 0 0 23 # 38 curl 0.9.6 curl_0.9.6.tar.gz 2016-02-17 256K 1 0 0 0 0 23 # 39 curl 0.9.5 curl_0.9.5.tar.gz 2016-01-23 255K 1 0 0 0 0 22 # 40 curl 0.9.4 curl_0.9.4.tar.gz 2015-11-20 240K 0 1 0 0 0 21 # 41 curl 0.9.3 curl_0.9.3.tar.gz 2015-08-25 240K 0 0 0 0 0 21 # 42 curl 0.9.2 curl_0.9.2.tar.gz 2015-08-08 239K 1 0 0 0 0 21 # 43 curl 0.9.1 curl_0.9.1.tar.gz 2015-07-04 237K 0 0 0 0 0 20 # 44 curl 0.9 curl_0.9.tar.gz 2015-06-19 236K 0 0 0 0 0 20 # 45 curl 0.8 curl_0.8.tar.gz 2015-06-06 235K 0 0 0 0 0 20 # 46 curl 0.7 curl_0.7.tar.gz 2015-05-22 236K 0 0 0 0 0 20 # 47 curl 0.6 curl_0.6.tar.gz 2015-05-19 235K 14 2 0 0 0 20 # 48 curl 0.5 curl_0.5.tar.gz 2015-02-01 16K 0 0 0 0 0 6 # 49 curl 0.4 curl_0.4.tar.gz 2015-01-08 16K 4 0 0 0 0 6 # 50 curl 0.3 curl_0.3.tar.gz 2014-12-01 7.5K 1 0 0 0 0 2 # 51 curl 0.2 curl_0.2.tar.gz 2014-11-20 5.5K 1 1 0 0 0 1 # View package stability pkg_stability("ggplot2") # # A stability score: ggplot2 package # - Age: 17.75 years # - Score: 82.5 # - Assessment: Somewhat Unstable # - Version Range: 0.5/3.5.1 # - Release Range: 2007-06-01/2024-04-23 # - Release Count: 50 # - Breaking Releases: 29 # - Data: # Package Version FileName Release Size AF AP RF RP BC TF # 1 ggplot2 3.5.1 ggplot2_3.5.1.tar.gz 2024-04-23 3.4M 0 4 0 0 0 711 # 2 ggplot2 3.5.0 ggplot2_3.5.0.tar.gz 2024-02-23 3.4M 37 92 26 6 1 711 # 3 ggplot2 3.4.4 ggplot2_3.4.4.tar.gz 2023-10-12 3.0M 0 0 0 0 0 700 # 4 ggplot2 3.4.3 ggplot2_3.4.3.tar.gz 2023-08-14 2.1M 0 0 0 0 0 700 # 5 ggplot2 3.4.2 ggplot2_3.4.2.tar.gz 2023-04-03 3.0M 3 0 0 1 1 700 # 6 ggplot2 3.4.1 ggplot2_3.4.1.tar.gz 2023-02-10 3.0M 2 1 0 0 0 697 # 7 ggplot2 3.4.0 ggplot2_3.4.0.tar.gz 2022-11-04 3.0M 28 15 0 0 0 695 # 8 ggplot2 3.3.6 ggplot2_3.3.6.tar.gz 2022-05-03 2.9M 0 0 0 1 1 667 # 9 ggplot2 3.3.5 ggplot2_3.3.5.tar.gz 2021-06-25 2.9M 0 0 0 0 0 667 # 10 ggplot2 3.3.4 ggplot2_3.3.4.tar.gz 2021-06-16 2.9M 8 16 0 1 1 667 # 11 ggplot2 3.3.3 ggplot2_3.3.3.tar.gz 2020-12-30 2.9M 0 0 0 0 0 659 # 12 ggplot2 3.3.2 ggplot2_3.3.2.tar.gz 2020-06-19 2.9M 17 5 0 1 1 659 # 13 ggplot2 3.3.1 ggplot2_3.3.1.tar.gz 2020-05-29 2.9M 0 0 0 0 0 642 # 14 ggplot2 3.3.0 ggplot2_3.3.0.tar.gz 2020-03-05 2.9M 68 47 0 1 1 642 # 15 ggplot2 3.2.1 ggplot2_3.2.1.tar.gz 2019-08-11 3.1M 0 0 0 0 0 574 # 16 ggplot2 3.2.0 ggplot2_3.2.0.tar.gz 2019-06-16 3.0M 3 7 3 0 1 574 # 17 ggplot2 3.1.1 ggplot2_3.1.1.tar.gz 2019-04-07 2.7M 0 2 0 0 0 574 # 18 ggplot2 3.1.0 ggplot2_3.1.0.tar.gz 2018-10-25 2.7M 5 8 0 0 0 574 # 19 ggplot2 3.0.0 ggplot2_3.0.0.tar.gz 2018-07-03 2.7M 89 53 6 4 1 569 # 20 ggplot2 2.2.1 ggplot2_2.2.1.tar.gz 2016-12-30 2.1M 0 0 0 0 0 486 # 21 ggplot2 2.2.0 ggplot2_2.2.0.tar.gz 2016-11-11 2.1M 22 27 21 2 1 486 # 22 ggplot2 2.1.0 ggplot2_2.1.0.tar.gz 2016-03-01 1.5M 11 6 0 2 1 485 # 23 ggplot2 2.0.0 ggplot2_2.0.0.tar.gz 2015-12-18 1.5M 159 94 103 33 1 474 # 24 ggplot2 1.0.1 ggplot2_1.0.1.tar.gz 2015-03-17 2.2M 0 0 0 0 0 418 # 25 ggplot2 1.0.0 ggplot2_1.0.0.tar.gz 2014-05-21 2.2M 12 5 0 0 0 418 # 26 ggplot2 0.9.3.1 ggplot2_0.9.3.1.tar.gz 2013-03-02 2.2M 0 1 0 0 0 406 # 27 ggplot2 0.9.3 ggplot2_0.9.3.tar.gz 2012-12-05 2.2M 4 4 0 0 0 406 # 28 ggplot2 0.9.2.1 ggplot2_0.9.2.1.tar.gz 2012-09-11 2.2M 0 0 0 0 0 402 # 29 ggplot2 0.9.2 ggplot2_0.9.2.tar.gz 2012-09-04 2.2M 26 16 8 6 1 402 # 30 ggplot2 0.9.1 ggplot2_0.9.1.tar.gz 2012-05-08 9.1M 13 11 0 3 1 384 # 31 ggplot2 0.9.0 ggplot2_0.9.0.tar.gz 2012-03-01 1.6M 282 4 149 5 1 371 # 32 ggplot2 0.8.9 ggplot2_0.8.9.tar.gz 2010-12-23 2.0M 4 1 2 0 1 238 # 33 ggplot2 0.8.8 ggplot2_0.8.8.tar.gz 2010-07-05 2.0M 6 0 2 0 1 236 # 34 ggplot2 0.8.7 ggplot2_0.8.7.tar.gz 2010-03-02 2.0M 2 0 0 0 0 232 # 35 ggplot2 0.8.6 ggplot2_0.8.6.tar.gz 2010-02-18 2.0M 0 0 0 0 0 230 # 36 ggplot2 0.8.5 ggplot2_0.8.5.tar.gz 2009-12-16 2.0M 9 2 4 0 1 230 # 37 ggplot2 0.8.4 ggplot2_0.8.4.tar.gz 2009-12-09 2.0M 3 0 2 0 1 225 # 38 ggplot2 0.8.3 ggplot2_0.8.3.tar.gz 2009-04-20 2.0M 51 2 6 2 1 224 # 39 ggplot2 0.8.2 ggplot2_0.8.2.tar.gz 2009-02-25 2.0M 11 1 10 0 1 179 # 40 ggplot2 0.8.1 ggplot2_0.8.1.tar.gz 2008-12-14 1.9M 19 3 3 3 1 178 # 41 ggplot2 0.8 ggplot2_0.8.tar.gz 2008-11-21 1.9M 25 6 2 2 1 162 # 42 ggplot2 0.7 ggplot2_0.7.tar.gz 2008-10-05 1.9M 45 7 26 3 1 139 # 43 ggplot2 0.6 ggplot2_0.6.tar.gz 2008-04-03 1.9M 30 5 125 2 1 120 # 44 ggplot2 0.5.7 ggplot2_0.5.7.tar.gz 2008-01-11 1.8M 16 3 3 0 1 215 # 45 ggplot2 0.5.6 ggplot2_0.5.6.tar.gz 2007-10-20 1.8M 36 0 5 0 1 202 # 46 ggplot2 0.5.5 ggplot2_0.5.5.tar.gz 2007-09-01 1.8M 1 0 0 2 1 171 # 47 ggplot2 0.5.4 ggplot2_0.5.4.tar.gz 2007-07-08 1.8M 3 0 1 0 1 170 # 48 ggplot2 0.5.2 ggplot2_0.5.2.tar.gz 2007-06-18 1.8M 2 0 0 0 0 168 # 49 ggplot2 0.5.1 ggplot2_0.5.1.tar.gz 2007-06-10 1.8M 11 1 5 0 1 166 # 50 ggplot2 0.5 ggplot2_0.5.tar.gz 2007-06-01 7.1M 160 160 0 0 0 160# View package stability pkg_stability("curl") # # A stability score: curl package # - Age: 10.33 years # - Score: 98.0 # - Assessment: Very Stable # - Version Range: 0.2/6.2.1 # - Release Range: 2014-11-20/2025-02-19 # - Release Count: 51 # - Breaking Releases: 1 # - Data: # Package Version FileName Release Size AF AP RF RP BC TF # 1 curl 6.2.1 curl_6.2.1.tar.gz 2025-02-19 911.7K 0 0 0 0 0 46 # 2 curl 6.2.0 curl_6.2.0.tar.gz 2025-01-23 911.3K 0 1 0 0 0 46 # 3 curl 6.1.0 curl_6.1.0.tar.gz 2025-01-06 911K 0 1 0 0 0 46 # 4 curl 6.0.1 curl_6.0.1.tar.gz 2024-11-14 911K 0 0 0 0 0 46 # 5 curl 6.0.0 curl_6.0.0.tar.gz 2024-11-05 911K 1 1 0 1 1 46 # 6 curl 5.2.3 curl_5.2.3.tar.gz 2024-09-20 700K 0 0 0 0 0 45 # 7 curl 5.2.2 curl_5.2.2.tar.gz 2024-08-26 701K 0 0 0 0 0 45 # 8 curl 5.2.1 curl_5.2.1.tar.gz 2024-03-02 700K 0 0 0 0 0 45 # 9 curl 5.2.0 curl_5.2.0.tar.gz 2023-12-08 699K 1 0 0 0 0 45 # 10 curl 5.1.0 curl_5.1.0.tar.gz 2023-10-02 697K 0 1 0 0 0 44 # 11 curl 5.0.2 curl_5.0.2.tar.gz 2023-08-14 697K 0 0 0 0 0 44 # 12 curl 5.0.1 curl_5.0.1.tar.gz 2023-06-08 697K 0 1 0 0 0 44 # 13 curl 5.0.0 curl_5.0.0.tar.gz 2023-01-12 666K 1 1 0 0 0 44 # 14 curl 4.3.3 curl_4.3.3.tar.gz 2022-10-06 655K 0 0 0 0 0 43 # 15 curl 4.3.2 curl_4.3.2.tar.gz 2021-06-23 775K 0 0 0 0 0 43 # 16 curl 4.3.1 curl_4.3.1.tar.gz 2021-04-30 775K 0 0 0 0 0 43 # 17 curl 4.3 curl_4.3.tar.gz 2019-12-02 658K 0 0 0 0 0 43 # 18 curl 4.2 curl_4.2.tar.gz 2019-09-24 652K 0 0 0 0 0 43 # 19 curl 4.1 curl_4.1.tar.gz 2019-09-16 652K 0 1 0 0 0 43 # 20 curl 4.0 curl_4.0.tar.gz 2019-07-22 370K 3 0 0 0 0 43 # 21 curl 3.3 curl_3.3.tar.gz 2019-01-10 363K 2 0 0 0 0 40 # 22 curl 3.2 curl_3.2.tar.gz 2018-03-28 358K 0 0 0 0 0 38 # 23 curl 3.1 curl_3.1.tar.gz 2017-12-12 358K 0 0 0 0 0 38 # 24 curl 3.0 curl_3.0.tar.gz 2017-10-06 403K 1 2 0 0 0 38 # 25 curl 2.8.1 curl_2.8.1.tar.gz 2017-07-22 400K 0 1 0 0 0 37 # 26 curl 2.7 curl_2.7.tar.gz 2017-06-26 397K 1 1 0 0 0 37 # 27 curl 2.6 curl_2.6.tar.gz 2017-04-27 396K 0 1 0 0 0 36 # 28 curl 2.5 curl_2.5.tar.gz 2017-04-14 396K 1 0 0 0 0 36 # 29 curl 2.4 curl_2.4.tar.gz 2017-03-24 394K 2 0 0 0 0 35 # 30 curl 2.3 curl_2.3.tar.gz 2016-11-24 391K 0 0 0 0 0 33 # 31 curl 2.2 curl_2.2.tar.gz 2016-10-21 389K 0 0 0 0 0 33 # 32 curl 2.1 curl_2.1.tar.gz 2016-09-22 388K 0 0 0 0 0 33 # 33 curl 2.0 curl_2.0.tar.gz 2016-09-17 389K 10 0 0 0 0 33 # 34 curl 1.2 curl_1.2.tar.gz 2016-08-13 287K 0 0 0 0 0 23 # 35 curl 1.1 curl_1.1.tar.gz 2016-07-26 277K 0 0 0 0 0 23 # 36 curl 1.0 curl_1.0.tar.gz 2016-07-24 277K 0 0 0 0 0 23 # 37 curl 0.9.7 curl_0.9.7.tar.gz 2016-04-10 258K 0 0 0 0 0 23 # 38 curl 0.9.6 curl_0.9.6.tar.gz 2016-02-17 256K 1 0 0 0 0 23 # 39 curl 0.9.5 curl_0.9.5.tar.gz 2016-01-23 255K 1 0 0 0 0 22 # 40 curl 0.9.4 curl_0.9.4.tar.gz 2015-11-20 240K 0 1 0 0 0 21 # 41 curl 0.9.3 curl_0.9.3.tar.gz 2015-08-25 240K 0 0 0 0 0 21 # 42 curl 0.9.2 curl_0.9.2.tar.gz 2015-08-08 239K 1 0 0 0 0 21 # 43 curl 0.9.1 curl_0.9.1.tar.gz 2015-07-04 237K 0 0 0 0 0 20 # 44 curl 0.9 curl_0.9.tar.gz 2015-06-19 236K 0 0 0 0 0 20 # 45 curl 0.8 curl_0.8.tar.gz 2015-06-06 235K 0 0 0 0 0 20 # 46 curl 0.7 curl_0.7.tar.gz 2015-05-22 236K 0 0 0 0 0 20 # 47 curl 0.6 curl_0.6.tar.gz 2015-05-19 235K 14 2 0 0 0 20 # 48 curl 0.5 curl_0.5.tar.gz 2015-02-01 16K 0 0 0 0 0 6 # 49 curl 0.4 curl_0.4.tar.gz 2015-01-08 16K 4 0 0 0 0 6 # 50 curl 0.3 curl_0.3.tar.gz 2014-12-01 7.5K 1 0 0 0 0 2 # 51 curl 0.2 curl_0.2.tar.gz 2014-11-20 5.5K 1 1 0 0 0 1 # View package stability pkg_stability("ggplot2") # # A stability score: ggplot2 package # - Age: 17.75 years # - Score: 82.5 # - Assessment: Somewhat Unstable # - Version Range: 0.5/3.5.1 # - Release Range: 2007-06-01/2024-04-23 # - Release Count: 50 # - Breaking Releases: 29 # - Data: # Package Version FileName Release Size AF AP RF RP BC TF # 1 ggplot2 3.5.1 ggplot2_3.5.1.tar.gz 2024-04-23 3.4M 0 4 0 0 0 711 # 2 ggplot2 3.5.0 ggplot2_3.5.0.tar.gz 2024-02-23 3.4M 37 92 26 6 1 711 # 3 ggplot2 3.4.4 ggplot2_3.4.4.tar.gz 2023-10-12 3.0M 0 0 0 0 0 700 # 4 ggplot2 3.4.3 ggplot2_3.4.3.tar.gz 2023-08-14 2.1M 0 0 0 0 0 700 # 5 ggplot2 3.4.2 ggplot2_3.4.2.tar.gz 2023-04-03 3.0M 3 0 0 1 1 700 # 6 ggplot2 3.4.1 ggplot2_3.4.1.tar.gz 2023-02-10 3.0M 2 1 0 0 0 697 # 7 ggplot2 3.4.0 ggplot2_3.4.0.tar.gz 2022-11-04 3.0M 28 15 0 0 0 695 # 8 ggplot2 3.3.6 ggplot2_3.3.6.tar.gz 2022-05-03 2.9M 0 0 0 1 1 667 # 9 ggplot2 3.3.5 ggplot2_3.3.5.tar.gz 2021-06-25 2.9M 0 0 0 0 0 667 # 10 ggplot2 3.3.4 ggplot2_3.3.4.tar.gz 2021-06-16 2.9M 8 16 0 1 1 667 # 11 ggplot2 3.3.3 ggplot2_3.3.3.tar.gz 2020-12-30 2.9M 0 0 0 0 0 659 # 12 ggplot2 3.3.2 ggplot2_3.3.2.tar.gz 2020-06-19 2.9M 17 5 0 1 1 659 # 13 ggplot2 3.3.1 ggplot2_3.3.1.tar.gz 2020-05-29 2.9M 0 0 0 0 0 642 # 14 ggplot2 3.3.0 ggplot2_3.3.0.tar.gz 2020-03-05 2.9M 68 47 0 1 1 642 # 15 ggplot2 3.2.1 ggplot2_3.2.1.tar.gz 2019-08-11 3.1M 0 0 0 0 0 574 # 16 ggplot2 3.2.0 ggplot2_3.2.0.tar.gz 2019-06-16 3.0M 3 7 3 0 1 574 # 17 ggplot2 3.1.1 ggplot2_3.1.1.tar.gz 2019-04-07 2.7M 0 2 0 0 0 574 # 18 ggplot2 3.1.0 ggplot2_3.1.0.tar.gz 2018-10-25 2.7M 5 8 0 0 0 574 # 19 ggplot2 3.0.0 ggplot2_3.0.0.tar.gz 2018-07-03 2.7M 89 53 6 4 1 569 # 20 ggplot2 2.2.1 ggplot2_2.2.1.tar.gz 2016-12-30 2.1M 0 0 0 0 0 486 # 21 ggplot2 2.2.0 ggplot2_2.2.0.tar.gz 2016-11-11 2.1M 22 27 21 2 1 486 # 22 ggplot2 2.1.0 ggplot2_2.1.0.tar.gz 2016-03-01 1.5M 11 6 0 2 1 485 # 23 ggplot2 2.0.0 ggplot2_2.0.0.tar.gz 2015-12-18 1.5M 159 94 103 33 1 474 # 24 ggplot2 1.0.1 ggplot2_1.0.1.tar.gz 2015-03-17 2.2M 0 0 0 0 0 418 # 25 ggplot2 1.0.0 ggplot2_1.0.0.tar.gz 2014-05-21 2.2M 12 5 0 0 0 418 # 26 ggplot2 0.9.3.1 ggplot2_0.9.3.1.tar.gz 2013-03-02 2.2M 0 1 0 0 0 406 # 27 ggplot2 0.9.3 ggplot2_0.9.3.tar.gz 2012-12-05 2.2M 4 4 0 0 0 406 # 28 ggplot2 0.9.2.1 ggplot2_0.9.2.1.tar.gz 2012-09-11 2.2M 0 0 0 0 0 402 # 29 ggplot2 0.9.2 ggplot2_0.9.2.tar.gz 2012-09-04 2.2M 26 16 8 6 1 402 # 30 ggplot2 0.9.1 ggplot2_0.9.1.tar.gz 2012-05-08 9.1M 13 11 0 3 1 384 # 31 ggplot2 0.9.0 ggplot2_0.9.0.tar.gz 2012-03-01 1.6M 282 4 149 5 1 371 # 32 ggplot2 0.8.9 ggplot2_0.8.9.tar.gz 2010-12-23 2.0M 4 1 2 0 1 238 # 33 ggplot2 0.8.8 ggplot2_0.8.8.tar.gz 2010-07-05 2.0M 6 0 2 0 1 236 # 34 ggplot2 0.8.7 ggplot2_0.8.7.tar.gz 2010-03-02 2.0M 2 0 0 0 0 232 # 35 ggplot2 0.8.6 ggplot2_0.8.6.tar.gz 2010-02-18 2.0M 0 0 0 0 0 230 # 36 ggplot2 0.8.5 ggplot2_0.8.5.tar.gz 2009-12-16 2.0M 9 2 4 0 1 230 # 37 ggplot2 0.8.4 ggplot2_0.8.4.tar.gz 2009-12-09 2.0M 3 0 2 0 1 225 # 38 ggplot2 0.8.3 ggplot2_0.8.3.tar.gz 2009-04-20 2.0M 51 2 6 2 1 224 # 39 ggplot2 0.8.2 ggplot2_0.8.2.tar.gz 2009-02-25 2.0M 11 1 10 0 1 179 # 40 ggplot2 0.8.1 ggplot2_0.8.1.tar.gz 2008-12-14 1.9M 19 3 3 3 1 178 # 41 ggplot2 0.8 ggplot2_0.8.tar.gz 2008-11-21 1.9M 25 6 2 2 1 162 # 42 ggplot2 0.7 ggplot2_0.7.tar.gz 2008-10-05 1.9M 45 7 26 3 1 139 # 43 ggplot2 0.6 ggplot2_0.6.tar.gz 2008-04-03 1.9M 30 5 125 2 1 120 # 44 ggplot2 0.5.7 ggplot2_0.5.7.tar.gz 2008-01-11 1.8M 16 3 3 0 1 215 # 45 ggplot2 0.5.6 ggplot2_0.5.6.tar.gz 2007-10-20 1.8M 36 0 5 0 1 202 # 46 ggplot2 0.5.5 ggplot2_0.5.5.tar.gz 2007-09-01 1.8M 1 0 0 2 1 171 # 47 ggplot2 0.5.4 ggplot2_0.5.4.tar.gz 2007-07-08 1.8M 3 0 1 0 1 170 # 48 ggplot2 0.5.2 ggplot2_0.5.2.tar.gz 2007-06-18 1.8M 2 0 0 0 0 168 # 49 ggplot2 0.5.1 ggplot2_0.5.1.tar.gz 2007-06-10 1.8M 11 1 5 0 1 166 # 50 ggplot2 0.5 ggplot2_0.5.tar.gz 2007-06-01 7.1M 160 160 0 0 0 160
The pkg_versions function queries the CRAN archive,
and returns a data frame of package version information for
all releases of the package. This function may be used to understand
what versions of a package are available. It is often used in
conjunction with pkg_info to get a general overview
of a package.
pkg_versions(pkg)pkg_versions(pkg)
pkg |
A package name to return versions for. Pass the package name as a quoted string. This parameter is required. |
A data frame with one row per package release, showing the version and date of each release. If the package is not found on CRAN, a message will be generated and the function will return NULL.
Other pdiff:
pkg_cache(),
pkg_diff(),
pkg_info(),
pkg_stability(),
print.pcache(),
print.pdiff(),
print.pdiff_score(),
print.pinfo()
# View package versions pkg_versions("rsample") # Package Version FileName Release Size # 1 rsample 1.2.1 rsample_1.2.1.tar.gz 2024-03-25 320.9K # 2 rsample 1.2.0 rsample_1.2.0.tar.gz 2023-08-23 321K # 3 rsample 1.1.1 rsample_1.1.1.tar.gz 2022-12-07 318K # 4 rsample 1.1.0 rsample_1.1.0.tar.gz 2022-08-08 306K # 5 rsample 1.0.0 rsample_1.0.0.tar.gz 2022-06-24 268K # 6 rsample 0.1.1 rsample_0.1.1.tar.gz 2021-11-08 274K # 7 rsample 0.1.0 rsample_0.1.0.tar.gz 2021-05-08 274K # 8 rsample 0.0.9 rsample_0.0.9.tar.gz 2021-02-17 269K # 9 rsample 0.0.8 rsample_0.0.8.tar.gz 2020-09-23 261K # 10 rsample 0.0.7 rsample_0.0.7.tar.gz 2020-06-04 248K # 11 rsample 0.0.6 rsample_0.0.6.tar.gz 2020-03-31 299K # 12 rsample 0.0.5 rsample_0.0.5.tar.gz 2019-07-13 297K # 13 rsample 0.0.4 rsample_0.0.4.tar.gz 2019-01-07 254K # 14 rsample 0.0.3 rsample_0.0.3.tar.gz 2018-11-20 254K # 15 rsample 0.0.2 rsample_0.0.2.tar.gz 2017-11-12 339K # 16 rsample 0.0.1 rsample_0.0.1.tar.gz 2017-07-08 180K# View package versions pkg_versions("rsample") # Package Version FileName Release Size # 1 rsample 1.2.1 rsample_1.2.1.tar.gz 2024-03-25 320.9K # 2 rsample 1.2.0 rsample_1.2.0.tar.gz 2023-08-23 321K # 3 rsample 1.1.1 rsample_1.1.1.tar.gz 2022-12-07 318K # 4 rsample 1.1.0 rsample_1.1.0.tar.gz 2022-08-08 306K # 5 rsample 1.0.0 rsample_1.0.0.tar.gz 2022-06-24 268K # 6 rsample 0.1.1 rsample_0.1.1.tar.gz 2021-11-08 274K # 7 rsample 0.1.0 rsample_0.1.0.tar.gz 2021-05-08 274K # 8 rsample 0.0.9 rsample_0.0.9.tar.gz 2021-02-17 269K # 9 rsample 0.0.8 rsample_0.0.8.tar.gz 2020-09-23 261K # 10 rsample 0.0.7 rsample_0.0.7.tar.gz 2020-06-04 248K # 11 rsample 0.0.6 rsample_0.0.6.tar.gz 2020-03-31 299K # 12 rsample 0.0.5 rsample_0.0.5.tar.gz 2019-07-13 297K # 13 rsample 0.0.4 rsample_0.0.4.tar.gz 2019-01-07 254K # 14 rsample 0.0.3 rsample_0.0.3.tar.gz 2018-11-20 254K # 15 rsample 0.0.2 rsample_0.0.2.tar.gz 2017-11-12 339K # 16 rsample 0.0.1 rsample_0.0.1.tar.gz 2017-07-08 180K
Print routine for a package cache object of class "pcache".
## S3 method for class 'pcache' print(x, ...)## S3 method for class 'pcache' print(x, ...)
x |
The package cache to print. |
... |
Follow-on parameters to the print function. |
The package cache object, invisibly.
Other pdiff:
pkg_cache(),
pkg_diff(),
pkg_info(),
pkg_stability(),
pkg_versions(),
print.pdiff(),
print.pdiff_score(),
print.pinfo()
# Create vector of packages pkgs <- c("ggplot2", "patchwork", "gt") # Capture cache versions res <- pkg_cache(pkgs) # Print cache versions print(res) # # A package cache object # - Last Update: 2025-03-01 20:51 UTC # - Packages: # Package Version # 1 ggplot2 3.5.1 # 2 patchwork 1.3.0 # 3 gt 0.11.1# Create vector of packages pkgs <- c("ggplot2", "patchwork", "gt") # Capture cache versions res <- pkg_cache(pkgs) # Print cache versions print(res) # # A package cache object # - Last Update: 2025-03-01 20:51 UTC # - Packages: # Package Version # 1 ggplot2 3.5.1 # 2 patchwork 1.3.0 # 3 gt 0.11.1
Print routine for a package difference object of class "pdiff".
## S3 method for class 'pdiff' print(x, ..., verbose = TRUE)## S3 method for class 'pdiff' print(x, ..., verbose = TRUE)
x |
The package difference to print |
... |
Follow-on parameters to the print function |
verbose |
Whether to print all added and removed functions and function parameters. Default is TRUE. If FALSE, the function will print removed functions and parameters, but only print counts of added functions and parameters. |
The package difference object, invisibly.
Other pdiff:
pkg_cache(),
pkg_diff(),
pkg_info(),
pkg_stability(),
pkg_versions(),
print.pcache(),
print.pdiff_score(),
print.pinfo()
# View versions pkg_versions("rvest") # Package Version FileName Release Size # 1 rvest 1.0.4 rvest_1.0.4.tar.gz 2024-02-12 113K # 2 rvest 1.0.3 rvest_1.0.3.tar.gz 2022-08-20 92K # 3 rvest 1.0.2 rvest_1.0.2.tar.gz 2021-10-17 92K # 4 rvest 1.0.1 rvest_1.0.1.tar.gz 2021-07-26 92K # 5 rvest 1.0.0 rvest_1.0.0.tar.gz 2021-03-09 92K # 6 rvest 0.3.6 rvest_0.3.6.tar.gz 2020-07-25 2.7M # 7 rvest 0.3.5 rvest_0.3.5.tar.gz 2019-11-09 1.1M # 8 rvest 0.3.4 rvest_0.3.4.tar.gz 2019-05-15 1.6M # 9 rvest 0.3.3 rvest_0.3.3.tar.gz 2019-04-11 1.6M # 10 rvest 0.3.2 rvest_0.3.2.tar.gz 2016-06-17 1.5M # 11 rvest 0.3.1 rvest_0.3.1.tar.gz 2015-11-11 1.5M # 12 rvest 0.3.0 rvest_0.3.0.tar.gz 2015-09-23 1.5M # 13 rvest 0.2.0 rvest_0.2.0.tar.gz 2015-01-01 5.2M # 14 rvest 0.1.0 rvest_0.1.0.tar.gz 2014-11-22 5.1M # Find differences in latest version res <- pkg_diff("rvest", "1.0.3", "1.0.4") # View differences print(res) # # A difference object: rvest package # - Comparing: v1.0.3/v1.0.4 # - Breaking Changes: FALSE # - Added Functions: # - html_element.LiveHTML() # - html_elements.LiveHTML() # - html_table.LiveHTML() # - LiveHTML() # - read_html_live()# View versions pkg_versions("rvest") # Package Version FileName Release Size # 1 rvest 1.0.4 rvest_1.0.4.tar.gz 2024-02-12 113K # 2 rvest 1.0.3 rvest_1.0.3.tar.gz 2022-08-20 92K # 3 rvest 1.0.2 rvest_1.0.2.tar.gz 2021-10-17 92K # 4 rvest 1.0.1 rvest_1.0.1.tar.gz 2021-07-26 92K # 5 rvest 1.0.0 rvest_1.0.0.tar.gz 2021-03-09 92K # 6 rvest 0.3.6 rvest_0.3.6.tar.gz 2020-07-25 2.7M # 7 rvest 0.3.5 rvest_0.3.5.tar.gz 2019-11-09 1.1M # 8 rvest 0.3.4 rvest_0.3.4.tar.gz 2019-05-15 1.6M # 9 rvest 0.3.3 rvest_0.3.3.tar.gz 2019-04-11 1.6M # 10 rvest 0.3.2 rvest_0.3.2.tar.gz 2016-06-17 1.5M # 11 rvest 0.3.1 rvest_0.3.1.tar.gz 2015-11-11 1.5M # 12 rvest 0.3.0 rvest_0.3.0.tar.gz 2015-09-23 1.5M # 13 rvest 0.2.0 rvest_0.2.0.tar.gz 2015-01-01 5.2M # 14 rvest 0.1.0 rvest_0.1.0.tar.gz 2014-11-22 5.1M # Find differences in latest version res <- pkg_diff("rvest", "1.0.3", "1.0.4") # View differences print(res) # # A difference object: rvest package # - Comparing: v1.0.3/v1.0.4 # - Breaking Changes: FALSE # - Added Functions: # - html_element.LiveHTML() # - html_elements.LiveHTML() # - html_table.LiveHTML() # - LiveHTML() # - read_html_live()
Print routine for a package stability score object of class "pdiff_score".
## S3 method for class 'pdiff_score' print(x, ...)## S3 method for class 'pdiff_score' print(x, ...)
x |
The package stability score to print |
... |
Follow-on parameters to the print function |
The stability score object, invisibly.
Other pdiff:
pkg_cache(),
pkg_diff(),
pkg_info(),
pkg_stability(),
pkg_versions(),
print.pcache(),
print.pdiff(),
print.pinfo()
# View package stability res <- pkg_stability("rsample") # Print stability scores print(res) # # A stability score: rsample package # - Age: 7.67 years # - Score: 80.7 # - Assessment: Somewhat Unstable # - Version Range: 0.0.1/1.2.1 # - Release Range: 2017-07-08/2024-03-25 # - Release Count: 16 # - Breaking Releases: 6 # - Data: # Package Version FileName Release Size AF AP RF RP BC TF # 1 rsample 1.2.1 rsample_1.2.1.tar.gz 2024-03-25 321K 1 0 0 0 0 401 # 2 rsample 1.2.0 rsample_1.2.0.tar.gz 2023-08-23 321K 43 6 1 3 1 400 # 3 rsample 1.1.1 rsample_1.1.1.tar.gz 2022-12-07 318K 37 5 0 0 0 358 # 4 rsample 1.1.0 rsample_1.1.0.tar.gz 2022-08-08 306K 72 1 0 0 0 321 # 5 rsample 1.0.0 rsample_1.0.0.tar.gz 2022-06-24 268K 1 0 1 0 1 249 # 6 rsample 0.1.1 rsample_0.1.1.tar.gz 2021-11-08 274K 4 1 0 1 1 249 # 7 rsample 0.1.0 rsample_0.1.0.tar.gz 2021-05-08 274K 0 5 0 0 0 245 # 8 rsample 0.0.9 rsample_0.0.9.tar.gz 2021-02-17 269K 19 0 6 0 1 245 # 9 rsample 0.0.8 rsample_0.0.8.tar.gz 2020-09-23 261K 59 0 0 0 0 232 # 10 rsample 0.0.7 rsample_0.0.7.tar.gz 2020-06-04 248K 101 1 0 0 0 173 # 11 rsample 0.0.6 rsample_0.0.6.tar.gz 2020-03-31 299K 7 2 0 0 0 72 # 12 rsample 0.0.5 rsample_0.0.5.tar.gz 2019-07-13 297K 4 5 0 0 0 65 # 13 rsample 0.0.4 rsample_0.0.4.tar.gz 2019-01-07 254K 0 0 4 0 1 61 # 14 rsample 0.0.3 rsample_0.0.3.tar.gz 2018-11-20 254K 7 0 1 0 1 65 # 15 rsample 0.0.2 rsample_0.0.2.tar.gz 2017-11-12 339K 24 0 0 0 0 59 # 16 rsample 0.0.1 rsample_0.0.1.tar.gz 2017-07-08 180K 35 35 0 0 0 35# View package stability res <- pkg_stability("rsample") # Print stability scores print(res) # # A stability score: rsample package # - Age: 7.67 years # - Score: 80.7 # - Assessment: Somewhat Unstable # - Version Range: 0.0.1/1.2.1 # - Release Range: 2017-07-08/2024-03-25 # - Release Count: 16 # - Breaking Releases: 6 # - Data: # Package Version FileName Release Size AF AP RF RP BC TF # 1 rsample 1.2.1 rsample_1.2.1.tar.gz 2024-03-25 321K 1 0 0 0 0 401 # 2 rsample 1.2.0 rsample_1.2.0.tar.gz 2023-08-23 321K 43 6 1 3 1 400 # 3 rsample 1.1.1 rsample_1.1.1.tar.gz 2022-12-07 318K 37 5 0 0 0 358 # 4 rsample 1.1.0 rsample_1.1.0.tar.gz 2022-08-08 306K 72 1 0 0 0 321 # 5 rsample 1.0.0 rsample_1.0.0.tar.gz 2022-06-24 268K 1 0 1 0 1 249 # 6 rsample 0.1.1 rsample_0.1.1.tar.gz 2021-11-08 274K 4 1 0 1 1 249 # 7 rsample 0.1.0 rsample_0.1.0.tar.gz 2021-05-08 274K 0 5 0 0 0 245 # 8 rsample 0.0.9 rsample_0.0.9.tar.gz 2021-02-17 269K 19 0 6 0 1 245 # 9 rsample 0.0.8 rsample_0.0.8.tar.gz 2020-09-23 261K 59 0 0 0 0 232 # 10 rsample 0.0.7 rsample_0.0.7.tar.gz 2020-06-04 248K 101 1 0 0 0 173 # 11 rsample 0.0.6 rsample_0.0.6.tar.gz 2020-03-31 299K 7 2 0 0 0 72 # 12 rsample 0.0.5 rsample_0.0.5.tar.gz 2019-07-13 297K 4 5 0 0 0 65 # 13 rsample 0.0.4 rsample_0.0.4.tar.gz 2019-01-07 254K 0 0 4 0 1 61 # 14 rsample 0.0.3 rsample_0.0.3.tar.gz 2018-11-20 254K 7 0 1 0 1 65 # 15 rsample 0.0.2 rsample_0.0.2.tar.gz 2017-11-12 339K 24 0 0 0 0 59 # 16 rsample 0.0.1 rsample_0.0.1.tar.gz 2017-07-08 180K 35 35 0 0 0 35
Print routine for a package info object of class "pinfo".
## S3 method for class 'pinfo' print(x, ..., verbose = FALSE)## S3 method for class 'pinfo' print(x, ..., verbose = FALSE)
x |
The package info to print. |
... |
Follow-on parameters to the print function. |
verbose |
Whether to print all function names or not. Default is FALSE. When FALSE, only a count of the functions will be printed. |
The package info object, invisibly.
Other pdiff:
pkg_cache(),
pkg_diff(),
pkg_info(),
pkg_stability(),
pkg_versions(),
print.pcache(),
print.pdiff(),
print.pdiff_score()
# Capture package info res <- pkg_info("patchwork") # View package info print(res) # # A package info object: patchwork package # - Version: v1.3.0 # - Release Date: 2024-09-16 # - Title: The Composer of Plots # - Maintainer: Thomas Lin Pedersen <[email protected]> # - License: MIT + file LICENSE # - Description: The 'ggplot2' package provides a strong API for sequentially # building up a plot, but does not concern itself with composition of multiple # plots. 'patchwork' is a package that expands the API to allow for # arbitrarily complex composition of plots by, among others, providing # mathematical operators for combining multiple plots. Other packages that try # to address this need (but with a different approach) are 'gridExtra' and # 'cowplot'. # - Imports: ggplot2 (>= 3.0.0), gtable, grid, stats, grDevices, utils, # graphics, rlang (>= 1.0.0), cli, farver # - Suggests: knitr, rmarkdown, gridGraphics, gridExtra, ragg, # testthat (>= 2.1.0), vdiffr, covr, png, gt (>= 0.11.0) # - Downloads/Month: 239555 # - Repository: CRAN # - Cached: TRUE # - Functions: 90# Capture package info res <- pkg_info("patchwork") # View package info print(res) # # A package info object: patchwork package # - Version: v1.3.0 # - Release Date: 2024-09-16 # - Title: The Composer of Plots # - Maintainer: Thomas Lin Pedersen <[email protected]> # - License: MIT + file LICENSE # - Description: The 'ggplot2' package provides a strong API for sequentially # building up a plot, but does not concern itself with composition of multiple # plots. 'patchwork' is a package that expands the API to allow for # arbitrarily complex composition of plots by, among others, providing # mathematical operators for combining multiple plots. Other packages that try # to address this need (but with a different approach) are 'gridExtra' and # 'cowplot'. # - Imports: ggplot2 (>= 3.0.0), gtable, grid, stats, grDevices, utils, # graphics, rlang (>= 1.0.0), cli, farver # - Suggests: knitr, rmarkdown, gridGraphics, gridExtra, ragg, # testthat (>= 2.1.0), vdiffr, covr, png, gt (>= 0.11.0) # - Downloads/Month: 239555 # - Repository: CRAN # - Cached: TRUE # - Functions: 90
Print routine for a package repo object of class "prepo".
## S3 method for class 'prepo' print(x, ...)## S3 method for class 'prepo' print(x, ...)
x |
The package repo to print. |
... |
Follow-on parameters to the print function. |
The package repo object, invisibly.
Other prepo:
pkg_repo(),
print.rbreak(),
print.rstability(),
repo_breakages(),
repo_stability()
# Create vector of packages pkgs <- c("tidymodels", "rsample", "parsnip", "recipes", "workflows") # Retrieve latest versions res <- pkg_repo(pkgs, ver = "latest") # Print results print(res) # # A package repo object # - Repo Version: latest # - Packages: # Package Version # 1 parsnip 1.3.0 # 2 recipes 1.1.1 # 3 rsample 1.2.1 # 4 tidymodels 1.3.0 # 5 workflows 1.2.0# Create vector of packages pkgs <- c("tidymodels", "rsample", "parsnip", "recipes", "workflows") # Retrieve latest versions res <- pkg_repo(pkgs, ver = "latest") # Print results print(res) # # A package repo object # - Repo Version: latest # - Packages: # Package Version # 1 parsnip 1.3.0 # 2 recipes 1.1.1 # 3 rsample 1.2.1 # 4 tidymodels 1.3.0 # 5 workflows 1.2.0
Print routine for a repo breakages object of class "rbreak".
## S3 method for class 'rbreak' print(x, ..., verbose = FALSE)## S3 method for class 'rbreak' print(x, ..., verbose = FALSE)
x |
The repo breakages object to print. |
... |
Follow-on parameters to the print function. |
verbose |
If FALSE, prints only the difference removals. If TRUE, prints both additions and removals. Default is FALSE. |
The repo breakage object, invisibly.
Other prepo:
pkg_repo(),
print.prepo(),
print.rstability(),
repo_breakages(),
repo_stability()
Print routine for a repot stability object of class "rstability".
## S3 method for class 'rstability' print(x, ...)## S3 method for class 'rstability' print(x, ...)
x |
The repo stability object to print. |
... |
Follow-on parameters to the print function. |
The repo stability object, invisibly.
Other prepo:
pkg_repo(),
print.prepo(),
print.rbreak(),
repo_breakages(),
repo_stability()
# Create vector of packages vct <- c("curl", "dplyr", "rvest", "tidymodels") # Get stablity scores res <- repo_stability(vct) # View stability scores print(res) # # A repo stability object # - Run Datetime: 2025-03-01 19:19 UTC # - Summary: # Package FV LV FR LR TR BR Score Assessment # 1 curl 0.2 6.2.1 2014-11-20 2025-02-19 51 1 98.0 Very Stable # 2 dplyr 0.1 1.1.4 2014-01-16 2023-11-17 45 20 87.5 Somewhat Unstable # 3 rvest 0.1.0 1.0.4 2014-11-22 2024-02-12 14 4 93.2 Stable # 4 tidymodels 0.0.1 1.3.0 2018-07-27 2025-02-21 14 0 100.0 Perfect# Create vector of packages vct <- c("curl", "dplyr", "rvest", "tidymodels") # Get stablity scores res <- repo_stability(vct) # View stability scores print(res) # # A repo stability object # - Run Datetime: 2025-03-01 19:19 UTC # - Summary: # Package FV LV FR LR TR BR Score Assessment # 1 curl 0.2 6.2.1 2014-11-20 2025-02-19 51 1 98.0 Very Stable # 2 dplyr 0.1 1.1.4 2014-01-16 2023-11-17 45 20 87.5 Somewhat Unstable # 3 rvest 0.1.0 1.0.4 2014-11-22 2024-02-12 14 4 93.2 Stable # 4 tidymodels 0.0.1 1.3.0 2018-07-27 2025-02-21 14 0 100.0 Perfect
The repo_breakages function generates a data frame
of breakage information for multiple packages. This function can be used
to identify breakages for a small set of packages, or even an entire repository.
repo_breakages(r1 = "current", r2 = "latest")repo_breakages(r1 = "current", r2 = "latest")
r1 |
A data frame that identifies the source repository packages and versions. The default value is "current", which means the function will use the current versions of all packages in the current R repository. |
r2 |
A data frame that identifies the target repository packages and versions. The default value is "latest", which means the function will use the latest versions of all packages on CRAN. |
The repo_breakages function aims to help with repository upgrades.
The purpose is to identify packages that will break if you upgrade
your repository.
The function accepts two data frames as input. Each data frame should have two columns: "Package" and "Version". The "r1" data frame is for your current repo. The "r2" data frame is for the upgrade repo.
When executed, repo_breakages will then match up the
source and target versions, run a difference operation for each package,
and look for breaking changes.
The result will be a table of package names, the source and target version, and whether or not there are any breakages. If there are breakages, the difference object for that package will be added to a "details" list. This difference object can show you exactly which functions or function parameters were removed.
The repo_breakages function is one of primary motivations for
the pkgdiff package. This mass-comparison ability did not
exist in any other R package prior to pkgdiff.
A list containing a summary table and a list of difference objects. The summary table will contain one row for each package. The columns show the package name, source and target versions, and whether there are any breaking changes between the specified versions. If breaking changes are found, the difference object for that package will be included in the details list.
Use the pkg_repo function to help gather
version information for each package set. Also see repo_stability
to collect stability information on multiple packages.
Other prepo:
pkg_repo(),
print.prepo(),
print.rbreak(),
print.rstability(),
repo_stability()
# Create package vector pkgs <- c("curl", "dplyr", "crayon", "stringr") # Backdated versions r1 <- data.frame(Package = pkgs, Version = c("5.2.1", "1.1.4", "1.5.2", "1.5.0")) # More recent versions r2 <- data.frame(Package = pkgs, Version = c("6.2.1", "1.1.4", "1.5.3", "1.5.1")) # Find any breaking changes # res <- repo_breakages(r1, r2) # - Commented out to pass CRAN checks # Comparing curl v5.2.1/v6.2.1 # Comparing crayon v1.5.2/v1.5.3 # Comparing stringr v1.5.0/v1.5.1 # View results # res # - Commented out to pass CRAN checks # # A repo breakages object # - Run Datetime: 2025-03-01 17:47 UTC # - Summary: # Package Version1 Version2 Breakages # 1 curl 5.2.1 6.2.1 TRUE # 2 dplyr 1.1.4 1.1.4 FALSE # 3 crayon 1.5.2 1.5.3 FALSE # 4 stringr 1.5.0 1.5.1 FALSE # - Details: # # A difference object: curl package # - Comparing: v5.2.1/v6.2.1 # - Breaking Changes: TRUE # - Added Functions: 1 # - Added Parameters: 3 # - Removed Parameters: # - multi_download(): timeout# Create package vector pkgs <- c("curl", "dplyr", "crayon", "stringr") # Backdated versions r1 <- data.frame(Package = pkgs, Version = c("5.2.1", "1.1.4", "1.5.2", "1.5.0")) # More recent versions r2 <- data.frame(Package = pkgs, Version = c("6.2.1", "1.1.4", "1.5.3", "1.5.1")) # Find any breaking changes # res <- repo_breakages(r1, r2) # - Commented out to pass CRAN checks # Comparing curl v5.2.1/v6.2.1 # Comparing crayon v1.5.2/v1.5.3 # Comparing stringr v1.5.0/v1.5.1 # View results # res # - Commented out to pass CRAN checks # # A repo breakages object # - Run Datetime: 2025-03-01 17:47 UTC # - Summary: # Package Version1 Version2 Breakages # 1 curl 5.2.1 6.2.1 TRUE # 2 dplyr 1.1.4 1.1.4 FALSE # 3 crayon 1.5.2 1.5.3 FALSE # 4 stringr 1.5.0 1.5.1 FALSE # - Details: # # A difference object: curl package # - Comparing: v5.2.1/v6.2.1 # - Breaking Changes: TRUE # - Added Functions: 1 # - Added Parameters: 3 # - Removed Parameters: # - multi_download(): timeout
The function generates stability scores for a vector of packages. If passing a large number of packages, be prepared for the function to run for a considerable amount of time.
repo_stability(pkgs, releases = NULL, months = NULL)repo_stability(pkgs, releases = NULL, months = NULL)
pkgs |
A vector of package names. |
releases |
An integer number of releases to assess. The function will then limit the scope of the assessment to the specified number of releases. |
months |
An integer number of months from the current date. The function will then limit the scope of the assessment to the specified number of months. |
To assess stability for a package, pkgdiff has to compare all releases of a package, and identify breaking changes between each release. This comparison takes time, especially for packages that have been active for many years.
Therefore, the first step of the function is to compare all releases for each package in the input vector. The function will send messages to the console to let you know which package it is currently comparing. These messages will let you know how far the function is through the processing.
Once all the comparisons are completed, the function will return a data frame summary of stability results. The data frame will have one row for each package in the input vector. The data frame will also show some information about the comparison, and give a stability assessment for each package. The data frame columns are as follows:
Package: The package name.
FV: The first version of the package.
LV: The last version of the package.
FR: The first release date of the package.
LR: The last release date of the package.
TR: The total number of releases.
BR: The number of breaking releases.
Score: The stability score.
Assessment: The stability assessment.
To learn how the package stability score and assessment are calculated,
see vignette("pkgdiff-stability"). Additional information is
included in the documentation of the pkg_stability
function.
If a package is not found in the package cache, the function
will download and compare each version of the package on CRAN. This
process may increase the processing time. See vignette("pkg-cache")
and pkg_cache for additional information.
If a package does not exist on CRAN, a row for that package will still be returned. However, all data values will be NA. This situation may occur if a package exists on Github, but has not yet been submitted to CRAN. The pkgdiff stability functions only work with packages that have been published to CRAN.
A data frame of information regarding the stability of each package in the input vector.
Other prepo:
pkg_repo(),
print.prepo(),
print.rbreak(),
print.rstability(),
repo_breakages()
# Create vector of packages vct <- c("curl", "dplyr", "rvest", "tidymodels") # Get stablity scores res <- repo_stability(vct) # Getting stability score for package 'curl'... # Getting stability score for package 'dplyr'... # Getting stability score for package 'rvest'... # Getting stability score for package 'tidymodels'... # View stability results res # A repo stability object # - Run Datetime: 2025-03-01 17:53 UTC # - Summary: # Package FV LV FR LR TR BR Score Assessment # 1 curl 0.2 6.2.1 2014-11-20 2025-02-19 51 1 98.0 Very Stable # 2 dplyr 0.1 1.1.4 2014-01-16 2023-11-17 45 20 87.5 Somewhat Unstable # 3 rvest 0.1.0 1.0.4 2014-11-22 2024-02-12 14 4 93.2 Stable # 4 tidymodels 0.0.1 1.3.0 2018-07-27 2025-02-21 14 0 100.0 Perfect# Create vector of packages vct <- c("curl", "dplyr", "rvest", "tidymodels") # Get stablity scores res <- repo_stability(vct) # Getting stability score for package 'curl'... # Getting stability score for package 'dplyr'... # Getting stability score for package 'rvest'... # Getting stability score for package 'tidymodels'... # View stability results res # A repo stability object # - Run Datetime: 2025-03-01 17:53 UTC # - Summary: # Package FV LV FR LR TR BR Score Assessment # 1 curl 0.2 6.2.1 2014-11-20 2025-02-19 51 1 98.0 Very Stable # 2 dplyr 0.1 1.1.4 2014-01-16 2023-11-17 45 20 87.5 Somewhat Unstable # 3 rvest 0.1.0 1.0.4 2014-11-22 2024-02-12 14 4 93.2 Stable # 4 tidymodels 0.0.1 1.3.0 2018-07-27 2025-02-21 14 0 100.0 Perfect