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 |
DOI: |
10.32614/CRAN.package.TAF |
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:
Downloads:
Reverse dependencies:
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