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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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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