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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 ORCID iD [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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tidyhte to link to this page.

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.