This package is considered a duplicate. The official version of this package is found at:https://justinthorp.r-universe.dev/CERFIT

Package: CERFIT 0.2.0

Justin Thorp

CERFIT: Causal Effect Random Forest of Interaction Trees

Fits a Causal Effect Random Forest of Interaction Trees (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 L. Li, R. A. Levine, and J. Fan (2022) <doi:10.1002/sta4.457>.

Authors:Justin Thorp [aut, cre], Joshua Moffat [aut], Luo Li [aut], Juanjuan Fan [aut]

CERFIT_0.2.0.tar.gz
CERFIT_0.2.0.tar.gz(r-4.7-arm64)CERFIT_0.2.0.tar.gz(r-4.7-x86_64)CERFIT_0.2.0.tar.gz(r-4.6-arm64)CERFIT_0.2.0.tar.gz(r-4.6-x86_64)
CERFIT_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CERFIT/json (API)

# Install 'CERFIT' in R:

install.packages('CERFIT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

educational - Observational Educational Dataset
warts - Randomized Controlled Trial Warts Dataset

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas cpp

2.00 score 1 scripts 330 downloads 2 exports 59 dependencies

Last updated from:6e9126ba2b. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	137
linux-devel-x86_64	OK	147
source / vignettes	OK	200
linux-release-arm64	OK	139
linux-release-x86_64	OK	142
wasm-release	OK	593

Exports:CERFIT MinDepth

Dependencies:backports CBPS chk cli codetools cpp11 data.table DBI deldir farver foreach Formula gbm ggplot2 glmnet glue gtable interp inum isoband iterators jpeg jsonlite labeling lattice latticeExtra libcoin lifecycle MASS MatchIt Matrix MatrixModels minqa mitools mvtnorm nnet numDeriv partykit png R6 randomForest RColorBrewer Rcpp RcppArmadillo RcppEigen RcppProgress rlang rpart S7 scales shape survey survival twang vctrs viridisLite withr xgboost xtable

Help page	Topics
Fits a Random Forest of Interaction Trees	CERFIT
Observational Educational Dataset	educational
Calculate Variable Importance	MinDepth
Get predictions from a CERFIT object	predict.CERFIT
Randomized Controlled Trial Warts Dataset	warts

Package: CERFIT 0.2.0

CERFIT: Causal Effect Random Forest of Interaction Trees

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)