Package: tidyhte
Title: Tidy Estimation of Heterogeneous Treatment Effects
Version: 1.0.4
Authors@R: 
    person(given = "Drew",
           family = "Dimmery",
           role = c("aut", "cre", "cph"),
           email = "cran@ddimmery.com",
           comment = c(ORCID = "0000-0001-9602-6325"))
Description: 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.
URL: https://github.com/ddimmery/tidyhte
        https://ddimmery.github.io/tidyhte/index.html
BugReports: https://github.com/ddimmery/tidyhte/issues
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: covr, devtools, estimatr, ggplot2, glmnet, knitr, mockr,
        nprobust, palmerpenguins, quadprog, quickblock, rmarkdown,
        testthat (>= 3.0.0), vimp, WeightedROC
Config/testthat/edition: 3
Imports: checkmate, dplyr, lifecycle, magrittr, progress, purrr, R6,
        rlang, SuperLearner, tibble
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-29 13:55:01 UTC; drewd
Author: Drew Dimmery [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-9602-6325>)
Maintainer: Drew Dimmery <cran@ddimmery.com>
Repository: CRAN
Date/Publication: 2025-07-29 19:20:02 UTC
Built: R 4.6.0; ; 2026-04-26 15:32:56 UTC; unix
