Estimates heterogeneous treatment effects using tidy semantics on experimental or observational data. Methods are based on the doubly-robust learner of Kennedy (2023) <doi:10.1214/23-EJS2157>. 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: | 1.0.4 |
| 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: | 2025-07-29 |
| DOI: | 10.32614/CRAN.package.tidyhte |
| Author: | Drew Dimmery |
| Maintainer: | Drew Dimmery <cran at ddimmery.com> |
| BugReports: | https://github.com/ddimmery/tidyhte/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/ddimmery/tidyhtehttps://ddimmery.github.io/tidyhte/index.html |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | tidyhte results |
| Reference manual: | tidyhte.html ,tidyhte.pdf |
| Vignettes: | HTE Analysis in an Experiment (source,R code) Methodological Details (source,R code) HTE Analysis on Observational Data (source,R code) |
| Package source: | tidyhte_1.0.4.tar.gz |
| Windows binaries: | r-devel:tidyhte_1.0.4.zip, r-release:tidyhte_1.0.4.zip, r-oldrel:tidyhte_1.0.4.zip |
| macOS binaries: | r-release (arm64):tidyhte_1.0.4.tgz, r-oldrel (arm64):tidyhte_1.0.4.tgz, r-release (x86_64):tidyhte_1.0.4.tgz, r-oldrel (x86_64):tidyhte_1.0.4.tgz |
| Old sources: | tidyhte archive |
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