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evalHTE

0.2.0Package record

Evaluating Heterogeneous Treatment Effects

0packages depend
2.6Kdownloads / year
0.4%test coverage
13/13flavors OK

Overview

About

Provides various statistical methods for evaluating heterogeneous treatment effects (HTE) in randomized experiments. The package includes tools to estimate uniform confidence bands for estimation of the group average treatment effect sorted by generic machine learning algorithms (GATES). It also provides the tools to identify a subgroup of individuals who are likely to benefit from a treatment the most "exceptional responders" or those who are harmed by it. Detailed reference in Imai and Li (2023) doi:10.48550/arXiv.2310.07973.

Changes in 0.2.0
  • Updated GATE estimation and tests to use the corrected evalITR implementation.
  • Fixed nsim forwarding in test_itr() and the minimum R version.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-26
  • ERROR12 OK, 1 ERROR2026-07-27
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMEYes · 507 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
19
Examples that run
100%7 run in a plain check
Exported functions with examples
64%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
37%
Vignettes (1)

Downloads

2.6K
CRAN downloads in the past year
Rank #12,322 · ~7/day · ~217/mo
Daily download trend is not available in this view yet.
35930 days
90790 days
2.6K1 year
Compare downloads with other packages →
Also on57 r2u2 autocran

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)

Installing evalHTE adds 99 packages (54 with compiled code, 71 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (2)
R >= 3.5.0dplyr
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2026)
Contributor
Releases (3)

Pick two releases to compare their code metrics.

  • 0.2.0Latest
    record
    2026-09-07 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1
    record
    2026-02-03 · diff ↗
  • 0.1.0
    record
    2026-01-28
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-01-28
Total releases
3 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Download size
36 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("evalHTE")
Li, M. L., Imai, K., & Li, J. (2026). evalHTE: Evaluating Heterogeneous Treatment Effects (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.evalHTE

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for evalHTE version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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