Software - Bayesian Analyses
This section contains models in the area of Bayesian Analyses.
For software in other areas, go to the general overview of software.
For Bayesian Analyses, the following R packages are available:
- Fitting multivariate binary data in a Bayesian way
- Semiparametric analyses using Dirichlet process priors and extensions
| FITTING MULTIVARIATE BINARY DATA IN A BAYESIAN WAY | ||||
|---|---|---|---|---|
| Program: baymvb | Version: 1.0.2 | Software: R | Version: >=2.0.1 | Last updated: 17/06/2005 |
| Prepared by: | Samuel Mwalili | |||
Description: | This package fits a multivariate binary data regression model in a Bayesian way. In particular, either a multivariate probit or multivariate t-link model is fitted. The Windows binary and the manual are available for download. The software is available under the GPL license version 2 or later. Also downloadable from CRAN. | |||
| download (size 318KB) | ||||
| top | ||||
| SEMIPARAMETRIC ANALYSES USING DIRICHLET PROCESS PRIORS AND EXTENSIONS | ||||
| Program: Dppackage | Version: 1.0.5 | Software: R | Version: >=2.2.1 | Last updated: 09/05/2008 |
| Prepared by: | Alejandro Jara | |||
Description: | This package contains functions for posterior analysis for a number of semiparametric statistical models. Simulation is done in compiled FORTRAN. The Windows binary and the manual are available for download. The software is available under the GPL license version 2 or later. Also downloadable from CRAN. | |||
| download (size 1713KB) | ||||
| top | ||||
© 2009 I-BioStat
last update: 15-11-2009
last update: 15-11-2009
