Package: psica
Type: Package
Title: Decision Tree Analysis for Probabilistic Subgroup Identification
        with Multiple Treatments
Version: 1.0.2
Author: Oleg Sysoev, Krzysztof Bartoszek, Katarina Ekholm Selling and
        Lotta Ekstrom
Maintainer: Oleg Sysoev <Oleg.Sysoev@liu.se>
Description: In the situation when multiple alternative treatments or
        interventions available, different population groups may
        respond differently to different treatments. This package
        implements a method that discovers the population subgroups in
        which a certain treatment has a better effect than the other
        alternative treatments. This is done by first estimating the
        treatment effect for a given treatment and its uncertainty by
        computing random forests, and the resulting model is summarized
        by a decision tree in which the probabilities that the given
        treatment is best for a given subgroup is shown in the
        corresponding terminal node of the tree.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rdpack, grid, gridBase, randomForest, rpart, partykit, party,
        BayesTree
RdMacros: Rdpack
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2026-10-09 09:16:58 UTC; root
Repository: https://osysoev.r-universe.dev
Date/Publication: 2020-02-11 16:20:11 UTC
RemoteUrl: https://github.com/cran/psica
RemoteRef: HEAD
RemoteSha: ffbc3edfb1cd038f16a822d84cdcb06f033e45b9