list
9.2.6Statistical Methods for the Item Count Technique and List Experiment
Overview
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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 92%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 60%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
28 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 9.2.6Latest
- RR 4.3.0 released · 2023-04-21
- 9.2.42022-06-26 · diff ↗
- 9.2.22022-05-25 · diff ↗
- 9.2.12022-05-09 · diff ↗
- unarchivedReturned to CRAN2022-05-09
- archivedRemoved from CRAN2022-05-07installation issues were not corrected in time
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 9.22020-03-19 · diff ↗
- unarchivedReturned to CRAN2020-03-19
- archivedRemoved from CRAN2020-02-24check problems were not corrected in time Simple fix needed to issues reported by LTO
Show 35 earlier events
- RR 3.6.0 released · 2019-04-26
- 9.12019-02-26 · diff ↗
- 9.02018-11-06 · diff ↗
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 8.32016-12-30 · diff ↗
- 8.22016-08-16 · diff ↗
- 8.12016-07-27 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 8.02015-05-20 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 7.12014-11-29 · diff ↗
- 7.02014-08-18 · diff ↗
- RR 3.1.0 released · 2014-04-10
- 6.12014-03-06 · diff ↗
- 6.02013-04-24 · diff ↗
- RR 3.0.0 released · 2013-04-03
- 5.22013-01-06 · diff ↗
- RR 2.15.0 released · 2012-03-30
- 5.12012-03-22 · diff ↗
- 5.02012-01-03 · diff ↗
- 4.22011-11-02 · diff ↗
- RR 2.14.0 released · 2011-10-31
- 4.12011-05-24 · diff ↗
- 4.02011-05-04 · diff ↗
- RR 2.13.0 released · 2011-04-13
- 3.02011-04-06 · diff ↗
- 2.32011-03-09 · diff ↗
- 2.22011-01-20 · diff ↗
- 2.12011-01-03 · diff ↗
- 2.02010-12-14 · diff ↗
- RR 2.12.0 released · 2010-10-15
- 1.12010-07-25 · diff ↗
- 1.02010-07-09
- RR 2.11.0 released · 2010-04-22
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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("list")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.