PLUCR: Policy Learning Under Constraint

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 (may not be active yet)
Author:	Laura Fuentes [aut, cre]
Maintainer:	Laura Fuentes <laura.fuentes-vicente at inria.fr>
License:	AGPL-3
NeedsCompilation:	no
CRAN checks:	PLUCR results

Documentation:

Reference manual:	PLUCR.html , PLUCR.pdf
Vignettes:	PLUCR (source, R code)

Downloads:

Package source:	PLUCR_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): PLUCR_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): PLUCR_0.1.0.tgz

Linking:

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