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Statistical Methods for the Item Count Technique and List Experiment

0packages depend
5.5Kdownloads / year
36.5%test coverage
13/13flavors OK

Overview

About

Allows researchers to conduct multivariate statistical analyses of survey data with list experiments. This survey methodology is also known as the item count technique or the unmatched count technique and is an alternative to the commonly used randomized response method. The package implements the methods developed by Imai (2011) doi:10.1198/jasa.2011.ap10415, Blair and Imai (2012) doi:10.1093/pan/mpr048, Blair, Imai, and Lyall (2013) doi:10.1111/ajps.12086, Imai, Park, and Greene (2014) doi:10.1093/pan/mpu017, Aronow, Coppock, Crawford, and Green (2015) doi:10.1093/jssam/smu023, Chou, Imai, and Rosenfeld (2017) doi:10.1177/0049124117729711, and Blair, Chou, and Imai (2018) https://imai.fas.harvard.edu/research/files/listerror.pdf. This includes a Bayesian MCMC implementation of regression for the standard and multiple sensitive item list experiment designs and a random effects setup, a Bayesian MCMC hierarchical regression model with up to three hierarchical groups, the combined list experiment and endorsement experiment regression model, a joint model of the list experiment that enables the analysis of the list experiment as a predictor in outcome regression models, a method for combining list experiments with direct questions, and methods for diagnosing and adjusting for response error. In addition, the package implements the statistical test that is designed to detect certain failures of list experiments, and a placebo test for the list experiment using data from direct questions.

Install

Health

CRAN checks
13OK
Slowest check: 4.3 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 9.2.6
READMEYes · 201 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileYes · software entry onlyWebsitenot declared in DESCRIPTION
Help pages
20
Examples that run
92%11 run in a plain check · 1 never run
Exported functions with examples
80%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
60%
Vignettes (1)

Downloads

5.5K
CRAN downloads in the past year
Rank #4,940 · ~15/day · ~461/mo
Daily download trend is not available in this view yet.
70530 days
1.7K90 days
5.5K1 year
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Also on363 r2u1 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing list adds 19 packages (11 with compiled code, 18 MB of source tarballs). Heaviest: lme4 4.1 MB, nloptr 2.1 MB, Rcpp 1.8 MB.

Depends (3)
R >= 3.2.0utilssandwich
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 1.0 (2010)
Author · added in 8.2
Contributor · added in 8.0
Contributor · added in 7.0
Releases (28)

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
  • 9.2.6Latest
    record
    2024-01-10 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 9.2.4
    record
    2022-06-26 · diff ↗
  • 9.2.2
    record
    2022-05-25 · diff ↗
  • unarchivedReturned to CRAN
    2022-05-09
  • 9.2.1
    record
    2022-05-09 · diff ↗
  • archivedRemoved from CRAN
    2022-05-07
    installation issues were not corrected in time
  • 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
  • unarchivedReturned to CRAN
    2020-03-19
  • 9.2
    record
    2020-03-19 · diff ↗
  • archivedRemoved from CRAN
    2020-02-24
    check problems were not corrected in time Simple fix needed to issues reported by LTO
Show 35 earlier eventsHide 35 earlier events

Package metadata

First published
2010-07-09
Total releases
28 / 16 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.2.0
Bundled data
116 KB / 6 files
Download size
231 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("list")

The package provides a citation file, so citation() returns the authors' own entry.

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 list version 9.2.6 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

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.

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