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psica
View on CRAN: Click
here
Download and install psica package within the R console
Install from CRAN:
install.packages("psica")
Install from Github:
library("remotes")
install_github("cran/psica") Install by package version:
library("remotes")
install_version("psica", "1.0.2") Attach the package and use:
library("psica")
Maintained by
Oleg Sysoev
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-19
Latest Update: 2020-02-11
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.
How to cite:
Oleg Sysoev (2018). psica: Decision Tree Analysis for Probabilistic Subgroup Identification with Multiple Treatments. R package version 1.0.2, https://cran.r-project.org/web/packages/psica. Accessed 05 Aug. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for psica
Functions, R codes and Examples using
the psica R package
Some associated functions: plot.psicaTree . predict.psicaTree . print.psicaTree . prune.psicaTree . psica . snip.psicaTree .
Some associated R codes: computePDelta.R . psica.R . Full psica package functions and examples
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