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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.
| Version: | 1.0.2 |
| Imports: | Rdpack, grid, gridBase, randomForest, rpart, partykit, party, BayesTree |
| Published: | 2020-02-11 |
| DOI: | 10.32614/CRAN.package.psica |
| Author: | Oleg Sysoev, Krzysztof Bartoszek, Katarina Ekholm Selling and Lotta Ekstrom |
| Maintainer: | Oleg Sysoev <Oleg.Sysoev at liu.se> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | psica citation info |
| CRAN checks: | psica results |
| Reference manual: | psica.pdf |
| Package source: | psica_1.0.2.tar.gz |
| Windows binaries: | r-devel: psica_1.0.2.zip, r-release: psica_1.0.2.zip, r-oldrel: psica_1.0.2.zip |
| macOS binaries: | r-release (arm64): psica_1.0.2.tgz, r-oldrel (arm64): psica_1.0.2.tgz, r-release (x86_64): psica_1.0.2.tgz, r-oldrel (x86_64): psica_1.0.2.tgz |
| Old sources: | psica archive |
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These binaries (installable software) and packages are in development.
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