Statistical 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
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- 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%
- Combined Lists HTML
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 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 ↗
- unarchivedReturned to CRAN2022-05-09
- 9.2.12022-05-09 · diff ↗
- 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
- unarchivedReturned to CRAN2020-03-19
- 9.22020-03-19 · diff ↗
- archivedRemoved from CRAN2020-02-24check problems were not corrected in time Simple fix needed to issues reported by LTO
Show 35 earlier eventsHide 35 earlier events
- RR 3.6.0 released · 2019-04-26
- 9.12019-02-26 · diff ↗
- 9.0
- 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
- 8.0
- RR 3.2.0 released · 2015-04-16
- 7.12014-11-29 · diff ↗
- 7.0
- RR 3.1.0 released · 2014-04-10
- 6.12014-03-06 · diff ↗
- 6.0
- 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 ↗
- 5.0
- 4.22011-11-02 · diff ↗
- RR 2.14.0 released · 2011-10-31
- 4.12011-05-24 · diff ↗
- 4.0
- 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 ↗
- 2.0
- 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
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