rworkflows: Test, Document, Containerise, and Deploy R Packages

Reproducibility is essential to the progress of research, yet achieving it remains elusive even in computational fields. Continuous Integration (CI) platforms offer a powerful way to launch automated workflows to check and document code, but often require considerable time, effort, and technical expertise to setup. We therefore developed the rworkflows suite to make robust CI workflows easy and freely accessible to all R package developers. rworkflows consists of 1) a CRAN/Bioconductor-compatible R package template, 2) an R package to quickly implement a standardised workflow, and 3) a centrally maintained GitHub Action.

Version: 1.0.1
Depends: R (≥ 4.1)
Imports: stats, here, yaml, utils, desc, badger, renv, tools, methods, BiocManager, data.table
Suggests: markdown, rmarkdown, remotes, knitr, covr, testthat (≥ 3.0.0), htmltools, jsonlite, BiocStyle, BiocPkgTools, biocViews, reticulate, rvest
Published: 2024-01-18
Author: Brian Schilder ORCID iD [aut, cre], Alan Murphy ORCID iD [aut, ctb], Nathan Skene ORCID iD [aut]
Maintainer: Brian Schilder <brian_schilder at alumni.brown.edu>
BugReports: https://github.com/neurogenomics/rworkflows/issues
License: GPL-3
URL: https://github.com/neurogenomics/rworkflows, https://CRAN.R-project.org/package=rworkflows
NeedsCompilation: no
Citation: rworkflows citation info
Materials: README NEWS
CRAN checks: rworkflows results

Documentation:

Reference manual: rworkflows.pdf
Vignettes: Bioconductor
depgraph
docker
Repositories report
rworkflows

Downloads:

Package source: rworkflows_1.0.1.tar.gz
Windows binaries: r-devel: rworkflows_1.0.1.zip, r-release: rworkflows_1.0.1.zip, r-oldrel: rworkflows_1.0.1.zip
macOS binaries: r-release (arm64): rworkflows_1.0.1.tgz, r-oldrel (arm64): rworkflows_1.0.1.tgz, r-release (x86_64): rworkflows_1.0.1.tgz
Old sources: rworkflows archive

Reverse dependencies:

Reverse suggests: EpiCompare, EWCE, orthogene

Linking:

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