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psica  

Decision Tree Analysis for Probabilistic Subgroup Identification with Multiple Treatments
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]
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 03 Dec. 2024.
Previous versions and publish date:
1.0.0 (2018-11-19 19:30), 1.0.1 (2018-11-29 13:00)
Other packages that cited psica R package
View psica citation profile
Other R packages that psica depends, 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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