psica
1.0.2Decision Tree Analysis for Probabilistic Subgroup Identification with Multiple Treatments
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-05-1111 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-05-1011 OK · 1 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-109 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 38%
- Return-value docs
- 100%
- References docs
- 17%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
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3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0.2Latest
- RR 3.6.0 released · 2019-04-26
- 1.0.12018-11-29 · diff ↗
- 1.0.02018-11-19
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-11-19
- Total releases
- 3 / 8 yrs
- License
- GPL (>= 2) OSI
- Download size
- 17 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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