Package: DPpackage
Version: 1.0-4
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, Dirichlet Process Mixtures, Polya Trees, and
Random Bernstein polynomials 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: Thu May 24 00:25:12 2007; Alejandro

Package: DPpackage
Version: 1.0-5
Date: 2007-03-05
Title: Bayesian Nonparametric and Semiparametric Analysis
Author: Alejandro Jara <Alejandro.JaraVallejos@med.kuleuven.be>
Maintainer: Alejandro Jara <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, Polya Trees, Mixtures of Triangular distributions,
and Random Bernstein polynomials priors. The package
also includes models considering Penalized B-Splines.
Currently the package includes semiparametric models for density estimation, ROC curve analysis,
interval censored data, binary regression models, generalized linear mixed
models, IRT type models, and generalized additive 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: Fri Sep 14 02:45:31 2007; Administrador