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
Built: R 2.5.1; universal-apple-darwin8.9.1; 2007-09-15 02:41:09; unix
