Package: CERFIT 0.2.0

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.zip(r-4.7)CERFIT_0.2.0.zip(r-4.6)CERFIT_0.2.0.zip(r-4.5)
CERFIT_0.2.0.tgz(r-4.6-x86_64)CERFIT_0.2.0.tgz(r-4.6-arm64)CERFIT_0.2.0.tgz(r-4.5-x86_64)CERFIT_0.2.0.tgz(r-4.5-arm64)
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
DESCRIPTION
card.svg |card.png
CERFIT/json (API)

# Install 'CERFIT' in R:
install.packages('CERFIT', repos = c('https://justinthorp.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/justinthorp/cerfit/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • educational - Observational Educational Dataset
  • warts - Randomized Controlled Trial Warts Dataset

On CRAN:

Conda:

openblascpp

3.30 score 1 stars 1 scripts 308 downloads 2 exports 59 dependencies

Last updated from:cb8b02479c. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK200
linux-devel-x86_64OK171
source / vignettesOK189
linux-release-arm64OK202
linux-release-x86_64OK169
macos-release-arm64OK148
macos-release-x86_64OK383
macos-oldrel-arm64OK148
macos-oldrel-x86_64OK276
windows-develOK156
windows-releaseOK153
windows-oldrelOK125
wasm-releaseOK170

Exports:CERFITMinDepth

Dependencies:backportsCBPSchkclicodetoolscpp11data.tableDBIdeldirfarverforeachFormulagbmggplot2glmnetgluegtableinterpinumisobanditeratorsjpegjsonlitelabelinglatticelatticeExtralibcoinlifecycleMASSMatchItMatrixMatrixModelsminqamitoolsmvtnormnnetnumDerivpartykitpngR6randomForestRColorBrewerRcppRcppArmadilloRcppEigenRcppProgressrlangrpartS7scalesshapesurveysurvivaltwangvctrsviridisLitewithrxgboostxtable