The goal of repo.data is to make repository data accessible. Mainly it consumes existing data but the idea is to also generate it.
When a function is specific of a repository it will start with its
name: cran_ or bioc_. Some functions have
their equivalent for all repositories that provide this information
(CRAN and Bioconductor that I’m aware of).
From CRAN:
install.packages("repo.data")You can install the development version of repo.data like so:
remotes::install_github("llrs/repo.data")We can get a data.frame of all packages on CRAN archive:
library(repo.data)
#>
#> Attaching package: 'repo.data'
#> The following object is masked from 'package:stats':
#>
#> alias
ca <- cran_archive()
#> Warning: There are 4 packages both archived and published
#> This indicate manual CRAN intervention.
head(ca)
#> Package Datetime Version User Size Status
#> 1 a11yShiny 2026-03-30 21:20:21 0.1.3 ligges 71907 current
#> 2 A3 2013-02-07 10:00:29 0.9.1 hornik 45252 archived
#> 3 A3 2013-03-26 19:58:40 0.9.2 ligges 45907 archived
#> 4 A3 2015-08-16 23:05:54 1.0.0 hornik 42810 archived
#> 5 a5R 2026-03-16 20:10:23 0.2.0 ligges 3685016 archived
#> 6 a5R 2026-03-26 13:30:08 0.3.1 ligges 3706043 currentWe can also check CRAN comments about the packages on its archive:
cc <- cran_comments()
#> Downloading and caching CRAN's comments for this session.
head(cc)
#> package
#> 1 A3
#> 2 aaSEA
#> 3 aba
#> 4 abbyyR
#> 5 abcADM
#> 6 abcdeFBA
#> comment
#> 1 Archived on 2025-06-13 as issues were not corrected despite reminders.
#> 2 Archived on 2022-06-21 as check problems were not corrected despite reminders.
#> 3 Archived on 2022-03-27 as check problems were not corrected in time.
#> 4 Archived on 2023-11-03 at the maintainer's request.
#> 5 Archived on 2023-03-02 as issues were not corrected in time.
#> 6 Archived on 2022-03-07 as check problems were not corrected in time.
#> date action
#> 1 2025-06-13 archived
#> 2 2022-06-21 archived
#> 3 2022-03-27 archived
#> 4 2023-11-03 archived
#> 5 2023-03-02 archived
#> 6 2022-03-07 archivedOr estimate the last date of update of our packages, by the information on the session info or a data.frame:
cran_session(session = sessionInfo())
#> [1] "2026-03-26 17:30:10 CET"
ip <- installed.packages()
cran_date(ip)
#> Warning: Some packages are not currently available. Omitting packages:
#> 'annotate', 'AnnotationDbi', 'Biobase', 'BiocGenerics', 'BioCor', 'BiocParallel', 'BiocVersion', 'Biostrings', 'cransays', 'GSEABase', 'IRanges', 'KEGGREST', 'rotemplate', 'rutils', 'S4Vectors', 'Seqinfo', 'XVector'.
#> [1] "2026-04-04 10:00:06 CEST"Other packages and related analysis :
install.dates()
requires a CRAN date, if you are unsure you can use
cran_date() to estimate it given a library()
or a sessionInfo report.This package comes from the analysis on CRAN data on https://llrs.dev