Package: CERFIT 0.1.1
CERFIT: Causal Effect Random Forest of Interaction Trees
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 L. Li, R. A. Levine, and J. Fan (2022) <doi:10.1002/sta4.457>.
Authors:
CERFIT_0.1.1.tar.gz
CERFIT_0.1.1.zip(r-4.5)CERFIT_0.1.1.zip(r-4.4)CERFIT_0.1.1.zip(r-4.3)
CERFIT_0.1.1.tgz(r-4.4-x86_64)CERFIT_0.1.1.tgz(r-4.4-arm64)CERFIT_0.1.1.tgz(r-4.3-x86_64)CERFIT_0.1.1.tgz(r-4.3-arm64)
CERFIT_0.1.1.tar.gz(r-4.5-noble)CERFIT_0.1.1.tar.gz(r-4.4-noble)
CERFIT_0.1.1.tgz(r-4.4-emscripten)CERFIT_0.1.1.tgz(r-4.3-emscripten)
CERFIT.pdf |CERFIT.html✨
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 2 years agofrom:b01fa8f23c. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 27 2024 |
R-4.5-win-x86_64 | NOTE | Oct 27 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 27 2024 |
R-4.4-win-x86_64 | NOTE | Oct 27 2024 |
R-4.4-mac-x86_64 | NOTE | Oct 27 2024 |
R-4.4-mac-aarch64 | NOTE | Oct 27 2024 |
R-4.3-win-x86_64 | NOTE | Oct 27 2024 |
R-4.3-mac-x86_64 | NOTE | Oct 27 2024 |
R-4.3-mac-aarch64 | NOTE | Oct 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 |