Package: DPpackage
Version: 1.0-1
Date: 2006-07-04
Title: Semiparametric Bayesian Analysis using Dirichlet process priors
Author: Alejandro Jara Vallejos <Alejandro.JaraVallejos@med.kuleuven.be>
Maintainer: Alejandro Jara Vallejos <Alejandro.JaraVallejos@med.kuleuven.be>
Description:
This package contains functions for posterior analysis for a number of
semiparametric statistical models. Simulation is done in compiled FORTRAN.
License: GPL version 2 or newer
URL: http://www.student.kuleuven.ac.be/%7Es0166452/software.html
Packaged: Sat Jul  8 18:50:09 2006; Alejandro

Package: DPpackage
Version: 1.0-2
Date: 2006-09-18
Title: Semiparametric Bayesian Analysis using Dirichlet process priors and Extensions
Author: Alejandro Jara Vallejos <Alejandro.JaraVallejos@med.kuleuven.be>
Maintainer: Alejandro Jara Vallejos <Alejandro.JaraVallejos@med.kuleuven.be>
Description:
This package contains functions for posterior analysis for a number of
semiparametric statistical models. Simulation is done in compiled FORTRAN.
License: GPL version 2 or newer
URL: http://www.student.kuleuven.ac.be/%7Es0166452/software.html
Packaged: Sun Oct 15 16:47:31 2006; Alejandro

Package: DPpackage
Version: 1.0-3
Date: 2006-12-27
Title: Bayesian Nonparametric and Semiparametric Analysis
Author: Alejandro Jara Vallejos <Alejandro.JaraVallejos@med.kuleuven.be>
Maintainer: Alejandro Jara Vallejos <Alejandro.JaraVallejos@med.kuleuven.be>
Description:
This package contains functions to perform inference via
simulation from the posterior distributions for Bayesian nonparametric and
semiparametric models. Although the name of the package was motivated
by the Dirichlet Process prior, the package considers and will consider
other priors on functional spaces. So far, DPpackage includes models
considering Dirichlet Process and Polya Tree priors. Currently the package
includes semiparametric models for density estimation, ROC curve analysis,
interval censored data, binary regression models, generalized linear mixed
models, and IRT type models. The package also contains functions to compute
Pseudo-Bayes factors for model comparison, and to elicitate the precision
parameter of the Dirichlet Process. To maximize computational efficiency,
the actual sampling for each model is done in compiled FORTRAN. The functions
return objects which can be subsequently analyzed with functions provided in
the coda package.
License: GPL version 2 or newer
URL: http://www.student.kuleuven.ac.be/%7Es0166452/software.html
Packaged: Wed Dec 27 19:31:44 2006; Administrador