Movatterモバイル変換


[0]ホーム

URL:


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 (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 DimmeryORCID iD [aut, cre, cph]
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

Documentation:

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)

Downloads:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=tidyhteto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp