Package: IUPS
Type: Package
Title: Incorporating Uncertainties in Propensity Scores
Version: 1.0
Date: 2013-6-5
Author: Weihua An, Huizi Xu, and Zhida Zheng, Indiana University
Bloomington
Maintainer: Weihua An <weihuaan@indiana.edu>
Depends: R (>= 2.14), R2jags, Matching, boot
SystemRequirements: JAGS (>= 3.3.0)
Description: This package includes functions to incorporate
uncertainties in estimated propensity scores and provide
adjusted standard errors for making valid causal inference.
License: GPL-3
Packaged: 2013-06-06 05:10:06 UTC; weihuaan
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-06-06 07:56:42
Package: CCTpack
Type: Package
Title: Cultural Consensus Theory applications to data
Version: 1.4
Date: 2014-08-18
Author: Royce Anders <andersr@uci.edu>
Maintainer: Royce Anders <andersr@uci.edu>
Description: A user-friendly GUI for the application of Cultural Consensus Theory (CCT) models and methods to consensus data. The models are applied using hierarchical Bayesian inference. The current package version supports binary, ordinal, and continuous data formats.
Depends: R2jags (>= 0.04-03)
Imports: tcltk, rjags, psych, mvtnorm, polycor, MASS, methods
License: GPL (>= 2)
Packaged: 2014-08-20 16:35:25 UTC; Royce
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-08-20 19:41:15
Package: bmeta
Type: Package
Title: Bayesian Meta-Analysis and Meta-Regression
Version: 0.1.2
Date: 2016-01-08
Author: Tao Ding, Gianluca Baio
Maintainer: Gianluca Baio <gianluca@stats.ucl.ac.uk>
Depends: R2jags, forestplot
Description: Provides a collection of functions for conducting meta-analyses under Bayesian context in R. The package includes functions for computing various effect size or outcome measures (e.g. odds ratios, mean difference and incidence rate ratio) for different types of data based on MCMC simulations. Users are allowed to fit fixed- and random-effects models with different priors to the data. Meta-regression can be carried out if effects of additional covariates are observed. Furthermore, the package provides functions for creating posterior distribution plots and forest plot to display main model output. Traceplots and some other diagnostic plots are also available for assessing model fit and performance.
License: GPL (>= 2)
URL: http://www.statistica.it/gianluca/bmeta
http://www.statistica.it/gianluca
NeedsCompilation: no
Packaged: 2016-01-08 09:22:11 UTC; gianluca
Repository: CRAN
Date/Publication: 2016-01-08 10:53:20
providing 
.