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endorse

1.6.2Package record

Bayesian Measurement Models for Analyzing Endorsement Experiments

0packages depend
2.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Fit the hierarchical and non-hierarchical Bayesian measurement models proposed by Bullock, Imai, and Shapiro (2011) DOI:10.1093/pan/mpr031 to analyze endorsement experiments. Endorsement experiments are a survey methodology for eliciting truthful responses to sensitive questions. This methodology is helpful when measuring support for socially sensitive political actors such as militant groups. The model is fitted with a Markov chain Monte Carlo algorithm and produces the output containing draws from the posterior distribution.

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.6.2
READMEYes · 89 wordsVignettesNoNEWSNoCitation fileNo
Help pages
6
Examples that run
50%1 run in a plain check · 1 never run
Exported functions with examples
40%
Documented parameters
100%
Return-value docs
80%
Help pages citing references
33%

Downloads

2.9K
CRAN downloads in the past year
Rank #12,439 · ~8/day · ~245/mo
Daily download trend is not available in this view yet.
35130 days
90290 days
2.9K1 year
Compare downloads with other packages →
Also on347 r2u2 autocran

Repository

3Stars
0Forks
0Open issues
0Open PRs
0Releases
40Commits
9Commit identities
40 commits · Last activity 2022-05-02
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
7

Stars over time

2023-07-14 · 32026-07-07 · 3
PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/sensitivequestions/endorse on 2026-10-22.

Continuous integration (1)
Travis CI (config file)
Docs source (2)
pkgdown

GitHub Pages site last deployed 2022-05-02

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing endorse adds 1 package (0 with compiled code, 73 KB of source tarballs). Heaviest: coda 73 KB.

Depends (2)
codautils
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0 (2012)
Contributor · added in 1.5.0
Releases (13)

Pick two releases to compare their code metrics.

  • 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
  • 1.6.2Latest
    record
    2022-05-02 · current release · diff ↗
  • 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
  • 1.6.1
    record
    2018-11-06 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.6.0
    record
    2017-06-25 · diff ↗ ·
    added 2 exports
    predict.endorse, GeoId
  • R
    R 3.4.0 released · 2017-04-21
  • 1.5.2
    record
    2017-04-19 · diff ↗
  • 1.5.1
    record
    2017-03-20 · diff ↗
  • 1.5.0
    record
    2016-10-22 · diff ↗
Show 13 earlier eventsHide 13 earlier events
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 1.4.1
    record
    2014-05-04 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 1.4.0
    record
    2013-04-29 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • 1.3.1
    record
    2013-02-06 · diff ↗
  • 1.3
    record
    2013-01-24 · diff ↗ ·
    added 1 export
    GeoCount
  • R
    R 2.15.0 released · 2012-03-30
  • 1.2
    record
    2012-02-25 · diff ↗
  • 1.1
    record
    2012-02-13 · diff ↗ ·
    added 1 export
    endorse.plot
  • 1.0
    record
    2012-01-16
  • R
    R 2.14.0 released · 2011-10-31

Package metadata

First published
2012-01-16
Total releases
13 / 14 yrs
License
GPL (>= 2) OSI
Bundled data
51 KB / 1 file
Download size
93 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("endorse")
Shiraito, Y., Imai, K., & Rosenfeld, B. (2022). endorse: Bayesian Measurement Models for Analyzing Endorsement Experiments (Version 1.6.2) [Computer software]. https://doi.org/10.32614/CRAN.package.endorse

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 endorse version 1.6.2 [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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