Package: list
Version: 8.0
Date: 2015-5-19
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@columbia.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)
NeedsCompilation: yes
Packaged: 2015-05-19 15:57:24 UTC; gblair
Repository: CRAN
Date/Publication: 2015-05-20 00:05:16
Package: RcmdrMisc
Version: 1.0-4
Date: 2016-04-01
Title: R Commander Miscellaneous Functions
Authors@R: c(person("John", "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca"),
person("Robert", "Muenchen", role = "ctb"),
person("Dan", "Putler", role = "ctb")
)
Depends: R (>= 3.0.0), utils, car, sandwich
Imports: abind, colorspace, Hmisc, MASS, e1071, readxl, graphics, grDevices, stats
ByteCompile: yes
Description:
Various statistical, graphics, and data-management functions used by the Rcmdr package in the R Commander GUI for R.
License: GPL (>= 2)
URL: http://www.r-project.org
Author: John Fox [aut, cre],
Robert Muenchen [ctb],
Dan Putler [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>
Repository: CRAN
Repository/R-Forge/Project: rcmdr
Repository/R-Forge/Revision: 709
Repository/R-Forge/DateTimeStamp: 2016-04-01 19:20:44
Date/Publication: 2016-04-04 08:36:53
NeedsCompilation: no
Packaged: 2016-04-01 19:25:18 UTC; rforge
Package: CADFtest
Type: Package
Title: This package performs the CADF unit root test proposed in Hansen
(1995).
Version: 0.3-2
Date: 2014-01-08
Author: Claudio Lupi
Maintainer: Claudio Lupi <lupi@unimol.it>
Depends: dynlm, sandwich, tseries, urca
Suggests: fUnitRoots
Description: This package performs Hansen's (1995) Covariate-Augmented
Dickey-Fuller (CADF) test. The only required argument is y, the
Tx1 time series to be tested. If no stationary covariate X is
passed to the procedure, then an ordinary ADF test is
performed. The p-values of the test are computed using a
procedure proposed in Costantini, Lupi and Popp (2007),
illustrated in Lupi (2009).
License: GPL (>= 2)
URL: http://www.jstatsoft.org/v32/i02
LazyLoad: yes
LazyData: yes
Packaged: 2014-01-08 11:48:01 UTC; claudio
Repository: CRAN
Date/Publication: 2014-01-08 13:19:38
NeedsCompilation: no
Package: COUNT
Type: Package
Title: Functions, data and code for count data.
Version: 1.3.2
Date: 2014-08-15
Imports: MASS
Depends: R (>= 2.10), msme, sandwich
Author: Joseph M Hilbe <hilbe@asu.edu>
Maintainer: Andrew Robinson <apro@unimelb.edu.au>
Description: Functions, data and code for Hilbe, J.M. 2011. Negative Binomial Regression, 2-nd Edition (Cambridge University Press) and Hilbe, J.M. 2014. Modeling Count Data (Cambridge University Press).
License: GPL-2
LazyLoad: yes
Packaged: 2014-08-15 02:22:04 UTC; andrewpr
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-08-15 07:32:21
Package: gmm
Version: 1.5-2
Date: 2015-02-02
Title: Generalized Method of Moments and Generalized Empirical
Likelihood
Author: Pierre Chausse <pchausse@uwaterloo.ca>
Maintainer: Pierre Chausse <pchausse@uwaterloo.ca>
Description: It is a complete suite to estimate models based on moment
conditions. It includes the two step Generalized method of
moments (GMM) of Hansen(1982), the iterated GMM and continuous
updated estimator (CUE) of Hansen-Eaton-Yaron(1996) and several
methods that belong to the Generalized Empirical Likelihood
(GEL) family of estimators, as presented by Smith(1997),
Kitamura(1997), Newey-Smith(2004) and Anatolyev(2005).
Depends: R (>= 2.10.0), sandwich
Suggests: mvtnorm, car, stabledist, MASS, timeDate, timeSeries
Imports: stats
License: GPL (>= 2)
Repository: CRAN
Repository/R-Forge/Project: gmm
Repository/R-Forge/Revision: 77
Repository/R-Forge/DateTimeStamp: 2015-02-13 20:51:24
Date/Publication: 2015-03-17 22:42:51
Packaged: 2015-02-13 21:05:43 UTC; rforge
NeedsCompilation: no
Package: inference
Version: 0.1.0
Date: 2010-10-22
Title: Functions to extract inferential values of a fitted model object
Author: Vinh Nguyen <vinhdizzo@gmail.com>
Maintainer: Vinh Nguyen <vinhdizzo@gmail.com>
Description: Collection of functions to extract inferential values
(point estimates, confidence intervals, p-values, etc) of a
fitted model object into a matrix-like object that can be used
for table/report generation; transform point estimates via the
delta method.
License: GPL (>= 2)
Type: Package
URL: http://r-forge.r-project.org/projects/inference/
BugReports:
http://lists.r-forge.r-project.org/mailman/listinfo/inference-devel
Depends: sandwich, methods
Collate: 'inference.R'
Packaged: 2010-10-26 19:56:25 UTC; vinh
Repository: CRAN
Date/Publication: 2010-10-27 05:25:35
providing 
.