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CERFIT  

Causal Effect Random Forest of Interaction Tress
View on CRAN: Click here


Download and install CERFIT package within the R console
Install from CRAN:
install.packages("CERFIT")

Install from Github:
library("remotes")
install_github("cran/CERFIT")

Install by package version:
library("remotes")
install_version("CERFIT", "0.1.0")



Attach the package and use:
library("CERFIT")
Maintained by
Justin Thorp
[Scholar Profile | Author Map]
First Published: 2022-06-01
Latest Update: 2022-06-01
Description:
Fits a Causal Effect Random Forest of Interaction Tress (CERFIT) which is a modification of the Random Forest algorithm where each split is chosen to maximize subgroup treatment heterogeneity. Doing this allows it to estimate the individualized treatment effect for each observation in either randomized controlled trial (RCT) or observational data. For more information see X. Su, A. T. Pe
How to cite:
Justin Thorp (2022). CERFIT: Causal Effect Random Forest of Interaction Tress. R package version 0.1.0, https://cran.r-project.org/web/packages/CERFIT. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited CERFIT R package
View CERFIT citation profile
Other R packages that CERFIT depends, imports, suggests or enhances
Complete documentation for CERFIT
Functions, R codes and Examples using the CERFIT R package
Some associated functions: CERFIT . MinDepth . educational . predict.CERFIT . warts . 
Some associated R codes: CERFIT.R . RcppExports.R . data.R . findCutpts.R . growTemp.R . growTree.R . minDepth.R . ordinalize.R . partition.R . predict.R . predictTree.R . print.R . truncquant.R .  Full CERFIT package functions and examples
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