tidyhte: Tidy Estimation of Heterogeneous Treatment Effects
Estimates heterogeneous treatment effects using tidy semantics on experimental or observational data. Methods are based on the doubly-robust learner of Kennedy (n.d.) <doi:10.48550/arXiv.2004.14497>. You provide a simple recipe for what machine learning algorithms to use in estimating the nuisance functions and 'tidyhte' will take care of cross-validation, estimation, model selection, diagnostics and construction of relevant quantities of interest about the variability of treatment effects.
| Version: | 1.0.2 |
| Imports: | checkmate, dplyr, lifecycle, magrittr, progress, purrr, R6, rlang, SuperLearner, tibble |
| Suggests: | covr, devtools, estimatr, ggplot2, glmnet, knitr, mockr, nprobust, palmerpenguins, quadprog, quickblock, rmarkdown, testthat (≥ 3.0.0), vimp, WeightedROC |
| Published: | 2023-08-14 |
| DOI: | 10.32614/CRAN.package.tidyhte |
| Author: | Drew Dimmery 
[aut, cre, cph] |
| Maintainer: | Drew Dimmery <drew.dimmery at univie.ac.at> |
| BugReports: | https://github.com/ddimmery/tidyhte/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ddimmery/tidyhte https://ddimmery.github.io/tidyhte/index.html |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | tidyhte results |
Documentation:
| Reference manual: | tidyhte.pdf |
| Vignettes: |
HTE Analysis in an Experiment Methodological Details HTE Analysis on Observational Data |
Downloads:
| Package source: | tidyhte_1.0.2.tar.gz |
| Windows binaries: | r-devel: tidyhte_1.0.2.zip, r-release: tidyhte_1.0.2.zip, r-oldrel: tidyhte_1.0.2.zip |
| macOS binaries: | r-release (arm64): tidyhte_1.0.2.tgz, r-oldrel (arm64): tidyhte_1.0.2.tgz, r-release (x86_64): tidyhte_1.0.2.tgz, r-oldrel (x86_64): tidyhte_1.0.2.tgz |
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