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
LazyData: true
Imports: Rdpack, grid, gridBase, randomForest, rpart, partykit, party,
        BayesTree
RdMacros: Rdpack
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-02-11 16:58:08 UTC; olesy12
Repository: CRAN
Date/Publication: 2020-02-11 17:20:11 UTC
Built: R 4.6.0; ; 2026-04-29 06:32:34 UTC; unix
