Package: bayesGDS
Type: Package
Title: Functions to implement Generalized Direct Sampling
Version: 0.6.0
Date: 2013-11-01
Author: Michael Braun
Maintainer: Michael Braun <braunm@smu.edu>
URL: www.cox.smu.edu/web/michaelbraun
Description: This package contains functions to help users implement the Generalized Direct Sampling algorithm for Bayesian hierarchical models (Braun and Damien, 2013). GDS is useful for sampling from posterior distributions for which there is a large number of conditionally independent heterogeneous units.
License: MPL (== 2.0)
Depends: R (>= 3.0.2), Matrix (>= 1.1.0), compiler
Suggests: sparseHessianFD(>= 0.1.1), sparseMVN(>= 0.1.0), mvtnorm,
        trustOptim (>= 0.8.3), plyr (>= 1.8)
Packaged: 2013-12-14 00:13:14 UTC; braunm
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-14 08:04:05
Built: R 3.1.0; ; 2013-12-15 11:45:37 UTC; unix
