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Estimating treatment probabilities that maximize a primary clinical outcome while controlling for the occurrence of adverse events. The 'PLUCR' package implements methods for constrained policy learning.
| Version: | 0.1.0 |
| Imports: | dplyr, ggplot2, grf, gridExtra, magrittr, R.utils, scales, stats, SuperLearner, tibble, tidyr, tidyselect, glue |
| Suggests: | knitr, rmarkdown |
| Published: | 2026-03-30 |
| DOI: | 10.32614/CRAN.package.PLUCR |
| Author: | Laura Fuentes [aut, cre] |
| Maintainer: | Laura Fuentes <laura.fuentes-vicente at inria.fr> |
| License: | AGPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | PLUCR results |
| Reference manual: | PLUCR.html , PLUCR.pdf |
| Vignettes: |
PLUCR (source, R code) |
| Package source: | PLUCR_0.1.0.tar.gz |
| Windows binaries: | r-devel: PLUCR_0.1.0.zip, r-release: PLUCR_0.1.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): PLUCR_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): PLUCR_0.1.0.tgz, r-oldrel (x86_64): PLUCR_0.1.0.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.