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GK2011

0.1.3Package record

Gaines and Kuklinski (2011) Estimators for Hybrid Experiments

0packages depend
2.1Kdownloads / year
100.0%test coverage
11/13flavors OK

Overview

About

Implementations of the treatment effect estimators for hybrid (self-selection) experiments, as developed by Brian J. Gaines and James H. Kuklinski, (2011), "Experimental Estimation of Heterogeneous Treatment Effects Related to Self-Selection," American Journal of Political Science 55(3): 724-736.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Thomas J. Leeper <thosjleeper@gmail.com>’

Package CITATION file contains call(s) to old-style personList() or
as.personList().  Please use c() on person objects instead.
Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

CRAN check page ↗

Slowest check: 56 s · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.3
READMEYes · 321 wordsVignettesNoNEWSYes · 100% structuredCitation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION
Help pages
3includes a package overview page
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
67%

Downloads

2.1K
CRAN downloads in the past year
Rank #22,561 · ~6/day · ~177/mo
Daily download trend is not available in this view yet.
25830 days
57290 days
2.1K1 year
Compare downloads with other packages →
Also on61 r2u6 autocran

Repository

2Stars
1Forks
0Open issues
0Open PRs
1Releases
14Commits
1Commit identities
treatment-effectsexperimentrctself-selectionrcran
14 commits · Last activity 2018-04-22 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
1
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2021-05-27 · 22026-07-07 · 2
PracticesBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/leeper/gk2011 on 2026-10-11.

Continuous integration (1)
Travis CI (config file)
Governance and community (3)
Contributing guideIssue templatesPR template
Docs source (1)
README.Rmd
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing GK2011 adds no packages beyond those that come with R.

Depends (0)
none
Imports (1)
stats
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.3 (2016)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1.3Latest
    2016-05-27 · current release
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-05-27
Total releases
1 / 10 yrs
License
GPL (>= 2) OSI
Bundled data
4.1 KB / 1 file
Download size
12 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GK2011")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 GK2011 version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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