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 (2010) and Blair and Imai (2010), and a
Bayesian MCMC implementation of regression for the standard
list experiment design.

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 (2010) and Blair and Imai (2010), and a
Bayesian MCMC implementation of regression for the standard and
multiple sensitive item list experiment designs.

Graeme Blair <gblair@Princeton.edu>, Kosuke Imai <kimai@Princeton.edu>
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) and Blair and Imai (2012), a Bayesian MCMC implementation of regression for the standard and multiple sensitive item list experiment designs including ceiling and floor effects and a random effects setup, and a Bayesian MCMC hierarchical regression model with up to three hierarchical groups.