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'))

Peer review:

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

1.70 score 1 scripts 132 downloads 7 exports 38 dependencies

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

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-linuxOKOct 26 2024

Exports:%>%compute_rediformat_dataloop_rediplot_rediredisimu_db

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithr