Tidy Estimation of Heterogeneous Treatment Effects
Overview
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.
- Reduce packaged vignette file sizes.
- Update maintainer email.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- NOTE12 OK, 1 NOTE2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 54 (23 internal)includes a package overview page
- Examples that run
- 100%29 run in a plain check
- Exported functions with examples
- 91%
- Documented parameters
- 100%
- Return-value docs
- 38%
- Help pages citing references
- 13%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 517
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
16 development-tooling and community-health practices detected across 8 families in the upstream repository
Checks run against github.com/ddimmery/tidyhte on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2025-10-09 · The repository has a site deploy workflow
pkgdown site last built 2025-10-09
Show all practicesHide 4 practices
This repository shows signs of AI coding tools.
- Claude Codefirst seen 2026-09-14Pull request it wrote: opened by a project member
Dependencies
Installing tidyhte adds 34 packages (18 with compiled code, 18 MB of source tarballs). Heaviest: data.table 5.7 MB, gplots 4.6 MB, vctrs 1.0 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0.4Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.22023-08-14
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-08-14
- Total releases
- 2 / 3 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 626 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("tidyhte")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
The repository also keeps a CITATION.cff.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.