Package: DPpackage
Version: 1.0-6
Date: 2008-06-25
Title: Bayesian Nonparametric and Semiparametric Analysis
Author: Alejandro Jara <Alejandro.JaraVallejos@med.kuleuven.be> with
contributions from
Timothy Hanson <hanson@biostat.umn.edu>,
Fernando A. Quintana <quintana@mat.puc.cl>,
Peter Mueller <pmueller@mdanderson.org>, and
Gary L. Rosner <glrosner@mdanderson.org>.
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 Processes, Dependent Dirichlet Processes, 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 marginal and
conditional 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: Sun Jul 13 22:58:42 2008; alejandro

Package: DPpackage
Version: 1.0-7
Date: 2009-03-15
Title: Bayesian Nonparametric and Semiparametric Analysis
Author: Alejandro Jara <ajarav@udec.cl> with contributions from Timothy
Hanson <hanson@biostat.umn.edu>, Fernando A. Quintana
<quintana@mat.puc.cl>, Peter Mueller <pmueller@mdanderson.org>,
and Gary L. Rosner <glrosner@mdanderson.org>.
Maintainer: Alejandro Jara <ajarav@udec.cl>
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
Processes, Dependent Dirichlet Processes, 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 marginal and conditional 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://www2.udec.cl/~ajarav/software.html
Packaged: Mon Mar 16 11:59:45 2009; alejandro
Repository: CRAN
Date/Publication: 2009-03-16 18:37:06