psica

Decision Tree Analysis for Probabilistic Subgroup Identification with Multiple Treatments

v1.0.2 · Feb 11, 2020 · GPL (>= 2)

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.

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r-release-windows-x86_64	OK	92s

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Version History

4 tracked

new 1.0.2 Mar 10, 2026

updated 1.0.2 ← 1.0.1 diff Feb 10, 2020

updated 1.0.1 ← 1.0.0 diff Nov 28, 2018

new 1.0.0 Nov 18, 2018