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.

Package details

AuthorArni Magnusson [aut, cre], Colin Millar [aut], Alexandros Kokkalis [ctb], Iago Mosqueira [ctb], Ibrahim Umar [ctb], Hjalte Parner [ctb]
MaintainerArni Magnusson <thisisarni@gmail.com>
LicenseGPL-3
Version4.2.0
URL https://github.com/ices-tools-prod/TAF
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("TAF")

Try the TAF package in your browser

Any scripts or data that you put into this service are public.

TAF documentation built on March 31, 2023, 6:51 p.m.