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 + file LICENSE | 
| URL: | https://github.com/ddimmery/tidyhte https://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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