Package: REDI 1.0.0

Alexia Grenouillat

REDI: Robust Exponential Decreasing Index

Implementation of the Robust Exponential Decreasing Index (REDI), proposed in the article by Issa Moussa, Arthur Leroy et al. (2019) <https://bmjopensem.bmj.com/content/bmjosem/5/1/e000573.full.pdf>. The REDI represents a measure of cumulated workload, robust to missing data, providing control of the decreasing influence of workload over time. Various functions are provided to format data, compute REDI, and visualise results in a simple and convenient way.

Authors:Alexia Grenouillat [aut, cre], Arthur Leroy [aut]

REDI_1.0.0.tar.gz
REDI_1.0.0.tar.gz(r-4.5-noble)REDI_1.0.0.tar.gz(r-4.4-noble)
REDI_1.0.0.tgz(r-4.4-emscripten)REDI_1.0.0.tgz(r-4.3-emscripten)
REDI.pdf |REDI.html✨
REDI/json (API)
NEWS

# Install 'REDI' in R:
install.packages('REDI', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 179 downloads 7 exports 38 dependencies

Last updated 2 years agofrom:1db0a2c2d6. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 24 2025
R-4.5-linuxOKJan 24 2025

Exports:%>%compute_rediformat_dataloop_rediplot_rediredisimu_db

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithr