list: Statistical Methods for the Item Count Technique and List Experiment

list is a publicly available R package that allows researchers to conduct multivariate statistical analyses of survey data with list experiments. In addition, the package implements the statistical test that is designed to detect certain failures of 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), Blair and Imai (2012), and Blair, Imai, and Lyall (2013). 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, and the combined list experiment and endorsement experiment regression model.

Version: 6.1
Depends: R (≥ 3.0.0), utils, sandwich (≥ 2.2-10)
Imports: VGAM (≥ 0.9-0), magic (≥ 1.5-4), gamlss.dist (≥ 4.2-0), MASS (≥ 7.3-26), quadprog (≥ 1.5-4), arm (≥ 1.6-05), corpcor (≥ 1.6.5), mvtnorm (≥ 0.9-9994), coda (≥ 0.16-1)
Published: 2014-03-06
Author: Graeme Blair, Kosuke Imai
Maintainer: Graeme Blair <gblair at Princeton.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: list citation info
Materials: ChangeLog
CRAN checks: list results

Downloads:

Reference manual: list.pdf
Package source: list_6.1.tar.gz
Windows binaries: r-devel: list_6.1.zip, r-release: list_6.1.zip, r-oldrel: list_6.1.zip
OS X Snow Leopard binaries: r-release: list_6.1.tgz, r-oldrel: list_6.1.tgz
OS X Mavericks binaries: r-release: list_6.1.tgz
Old sources: list archive