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:
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
- educational - Observational Educational Dataset
- warts - Randomized Controlled Trial Warts Dataset
Last updated from:cb8b02479c. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 200 | ||
| linux-devel-x86_64 | OK | 171 | ||
| source / vignettes | OK | 189 | ||
| linux-release-arm64 | OK | 202 | ||
| linux-release-x86_64 | OK | 169 | ||
| macos-release-arm64 | OK | 148 | ||
| macos-release-x86_64 | OK | 383 | ||
| macos-oldrel-arm64 | OK | 148 | ||
| macos-oldrel-x86_64 | OK | 276 | ||
| windows-devel | OK | 156 | ||
| windows-release | OK | 153 | ||
| windows-oldrel | OK | 125 | ||
| wasm-release | OK | 170 |
Dependencies:backportsCBPSchkclicodetoolscpp11data.tableDBIdeldirfarverforeachFormulagbmggplot2glmnetgluegtableinterpinumisobanditeratorsjpegjsonlitelabelinglatticelatticeExtralibcoinlifecycleMASSMatchItMatrixMatrixModelsminqamitoolsmvtnormnnetnumDerivpartykitpngR6randomForestRColorBrewerRcppRcppArmadilloRcppEigenRcppProgressrlangrpartS7scalesshapesurveysurvivaltwangvctrsviridisLitewithrxgboostxtable
Readme and manuals
Help Manual
| 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 |
