Package: list
Version: 8.1
Date: 2016-7-26
Title: Statistical Methods for the Item Count Technique and List
        Experiment
Author: Graeme Blair [aut, cre], Kosuke Imai [aut, cre], Bethany Park [ctb],
    Alexander Coppock [ctb]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>
Depends: R (>= 3.2.0), utils, sandwich (>= 2.3-3)
Imports: VGAM (>= 0.9-8), magic (>= 1.5-6), gamlss.dist (>= 4.3-4),
        MASS (>= 7.3-40), quadprog (>= 1.5-5), corpcor (>= 1.6.7),
        mvtnorm (>= 1.0-2), coda (>= 0.17-1)
Suggests: testthat (>= 0.9.1), knitr (>= 1.10.5)
VignetteBuilder: knitr
Description: 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), Blair and Imai (2012), Blair,
    Imai, and Lyall (2013), Imai, Park, and Greene (2014),
    and Aronow, Coppock, Crawford, and Green (2015).
    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, and a method for combining list
    experiments with direct questions. 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.
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-07-27 04:02:07 UTC; gblair
Repository: CRAN
Date/Publication: 2016-07-27 07:58:58
