Package: CERFIT 0.1.0
CERFIT: Causal Effect Random Forest of Interaction Tress
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>.
Authors:
CERFIT_0.1.0.tar.gz
CERFIT_0.1.0.tar.gz(r-4.5-noble)CERFIT_0.1.0.tar.gz(r-4.4-noble)
CERFIT_0.1.0.tgz(r-4.4-emscripten)CERFIT_0.1.0.tgz(r-4.3-emscripten)
CERFIT.pdf |CERFIT.html✨
CERFIT/json (API)
# Install 'CERFIT' in R: |
install.packages('CERFIT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- educational - Observational Educational Dataset
- warts - Randomized Controlled Trial Warts Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:1d04d96d02. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 27 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 27 2024 |
Dependencies:backportsCBPSchkclicodetoolscolorspacedata.tableDBIdeldirfansifarverforeachFormulagbmggplot2glmnetgluegtableinterpinumisobanditeratorsjpegjsonlitelabelinglatticelatticeExtralibcoinlifecyclemagrittrMASSMatchItMatrixMatrixModelsmgcvminqamitoolsmunsellmvtnormnlmennetnumDerivpartykitpillarpkgconfigpngR6randomForestRColorBrewerRcppRcppArmadilloRcppEigenRcppProgressrlangrpartscalesshapesurveysurvivaltibbletwangutf8vctrsviridisLitewithrxgboostxtable
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Fits a Random Forest of Interactions Trees | CERFIT |
Observational Educational Dataset | educational |
Calculate Variable Importance | MinDepth |
Get predictions from a CERFIT object | predict.CERFIT |
Randomized Controlled Trial Warts Dataset | warts |