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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "PLUCR" in publications use:'
type: software
license: AGPL-3.0-only
title: 'PLUCR: Policy Learning Under Constraint'
version: 0.1.0
doi: 10.32614/CRAN.package.PLUCR
abstract: 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.
authors:
- family-names: Fuentes
  given-names: Laura
  email: laura.fuentes-vicente@inria.fr
repository: https://cran.r-universe.dev
commit: f9b6c3fd64bc6416472a0e9a11e84806194225a4
date-released: '2026-03-30'
contact:
- family-names: Fuentes
  given-names: Laura
  email: laura.fuentes-vicente@inria.fr