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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.
| Version: | 1.0.0 |
| Imports: | dplyr, ggplot2, tidyr, tibble, magrittr, rlang, lubridate |
| Published: | 2023-06-07 |
| Author: | Alexia Grenouillat [aut, cre], Arthur Leroy [aut] |
| Maintainer: | Alexia Grenouillat <alexia.grenouillat00 at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Citation: | REDI citation info |
| Materials: | README NEWS |
| CRAN checks: | REDI results |
| Reference manual: | REDI.pdf |
| Package source: | REDI_1.0.0.tar.gz |
| Windows binaries: | r-devel: REDI_1.0.0.zip, r-release: REDI_1.0.0.zip, r-oldrel: REDI_1.0.0.zip |
| macOS binaries: | r-release (arm64): REDI_1.0.0.tgz, r-oldrel (arm64): REDI_1.0.0.tgz, r-release (x86_64): REDI_1.0.0.tgz, r-oldrel (x86_64): REDI_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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