repo.data

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_.

Installation

From CRAN:

install.packages("repo.data")

You can install the development version of repo.data like so:

remotes::install_github("llrs/repo.data")

Example

We can get a data.frame of all packages on CRAN archive:

library(repo.data)
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            A3 2013-02-07 10:00:29   0.9.1 hornik  45252 archived
#> 2            A3 2013-03-26 19:58:40   0.9.2 ligges  45907 archived
#> 3            A3 2015-08-16 23:05:54   1.0.0 hornik  42810 archived
#> 4 AalenJohansen 2023-03-01 11:42:11     1.0 ligges 165057  current
#> 5       aamatch 2025-06-24 11:40:05   0.3.7 ligges 222104  current
#> 6          aaMI 2005-06-24 17:55:17   1.0-0   root   2968 archived

We can also check CRAN comments about the packages on its archive:

cc <- cran_comments()
#> Retrieving comments, this might take a bit.
#> Caching results to be faster next call in 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 archived

Or 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] "2025-08-27 18:40:06 CEST"
ip <- installed.packages()
cran_date(ip)
#> Warning in cran_archive(versions[, "Package"]): Omitting packages airway, alabaster.base, alabaster.matrix, alabaster.ranges, alabaster.sce, alabaster.schemas, alabaster.se, annotate, AnnotationDbi, AnnotationFilter, AnnotationHub, assorthead, Biobase, BiocFileCache, BiocGenerics, BiocIO, BioCor, BiocParallel, BiocPkgTools, BiocStyle, BiocVersion, biocViews, biomformat, Biostrings, cransays, DelayedArray, DESeq2, ensembldb, ExperimentHub, fgsea, GenomeInfoDb, GenomeInfoDbData, GenomicAlignments, GenomicFeatures, GenomicRanges, GO.db, GOSemSim, GSEABase, gypsum, h5mread, HDF5Array, IRanges, KEGGREST, MatrixGenerics, microshades, org.Hs.eg.db, phyloseq, preprocessCore, ProtGenerics, reactome.db, resios, rhdf5, rhdf5filters, Rhdf5lib, Rhtslib, rostemplate, rotemplate, Rsamtools, rtracklayer, rutils, S4Arrays, S4Vectors, scRNAseq, SingleCellExperiment, SparseArray, SummarizedExperiment, UCSC.utils, XVector.
#> Maybe they were not on CRAN?
#> [1] "2025-08-29 16:00:06 CEST"

Related packages

Other packages and related analysis :

• Task views: https://github.com/epiverse-connect/ctv-analysis/
• static packages: pkgstats
• Bioconductor: biopkgtools
• R-universe: universe
• cranly: About package dependencies and authors of packages.
• versions: A package about installing packages versions. 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.
• checkpoint provides tools to ensure the results of R code are repeatable over time.

History

This package comes from the analysis on CRAN data on https://llrs.dev