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

Package: list
Version: 8.2
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], Winston Chou [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: 2016-08-16 01:36:01 UTC; gblair
Repository: CRAN
Date/Publication: 2016-08-16 09:55:37