Package: DPpackage
Version: 1.0-8
Depends: MASS, nlme
Date: 2009-09-15
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, Hierarchical
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 (>= 2)
URL: http://www2.udec.cl/~ajarav/software.html
Packaged: 2009-10-20 07:43:16 UTC; root
Repository: CRAN
Date/Publication: 2009-10-20 09:46:48

Package: DPpackage
Version: 1.0-9
Depends: MASS, nlme
Date: 2010-01-25
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, Dependent Poisson-
Dirichlet Processes, Hierarchical 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 (>= 2)
URL: http://www2.udec.cl/~ajarav/software.html
Packaged: 2010-01-26 18:43:51 UTC; root
Repository: CRAN
Date/Publication: 2010-01-27 10:50:58