CRAN/E | CERFIT

CERFIT

Causal Effect Random Forest of Interaction Tress

Installation

About

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. Peña, L. Liu, and R. A. Levine (2018) doi:10.48550/arXiv.1709.04862.

Key Metrics

Version 0.1.0
R ≥ 2.10
Published 2022-06-01 686 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks CERFIT results

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Maintainer

Maintainer

Justin Thorp

jjtthorp@gmail.com

Authors

Justin Thorp

aut / cre

Luo Li

aut

Juanjuan Fan

aut

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 2.10

Imports

partykit
CBPS
randomForest
twang
Rcpp
stats
glmnet

LinkingTo

Rcpp
RcppArmadillo