TAF: Transparent Assessment Framework for Reproducible Research

Functions to organize data, methods, and results used in scientific analyses. A TAF analysis consists of four scripts (data.R, model.R, output.R, report.R) that are run sequentially. Each script starts by reading files from a previous step and ends with writing out files for the next step. Convenience functions are provided to version control the required data and software, run analyses, clean residues from previous runs, manage files, manipulate tables, and produce figures. With a focus on stability and reproducible analyses, TAF is designed to have no package dependencies. TAF forms a base layer for the 'icesTAF' package and other scientific applications.

Version: 4.2.0
Imports: grDevices, lattice, stats, tools, utils
Published: 2023-03-21
Author: Arni Magnusson [aut, cre], Colin Millar [aut], Alexandros Kokkalis [ctb], Iago Mosqueira [ctb], Ibrahim Umar [ctb], Hjalte Parner [ctb]
Maintainer: Arni Magnusson <thisisarni at gmail.com>
License: GPL-3
URL: https://github.com/ices-tools-prod/TAF
NeedsCompilation: no
Materials: NEWS
In views: ReproducibleResearch
CRAN checks: TAF results

Documentation:

Reference manual: TAF.pdf

Downloads:

Package source: TAF_4.2.0.tar.gz
Windows binaries: r-devel: TAF_4.2.0.zip, r-release: TAF_4.2.0.zip, r-oldrel: TAF_4.2.0.zip
macOS binaries: r-release (arm64): TAF_4.2.0.tgz, r-oldrel (arm64): TAF_4.2.0.tgz, r-release (x86_64): TAF_4.2.0.tgz
Old sources: TAF archive

Reverse dependencies:

Reverse imports: icesTAF

Linking:

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