MCMC algorithms & processing functions for: 1. multivariate (and univariate) regression, with nonparametric models for the means, the variances and the correlation matrix, with variable selection, and 2. Dirichlet process mixtures.
| Version: | 2.1.4 |
| Depends: | R (≥ 3.1.0) |
| Imports: | coda, ggplot2, plot3D, threejs, gridExtra, cubature, Formula, plyr, mgcv, corrplot, label.switching |
| LinkingTo: | cubature |
| Suggests: | mvtnorm, np |
| Published: | 2020-05-08 |
| Author: | Georgios Papageorgiou |
| Maintainer: | Georgios Papageorgiou <gpapageo at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.bbk.ac.uk/ems/faculty/papageorgiou/BNSP |
| NeedsCompilation: | yes |
| Citation: | BNSP citation info |
| In views: | Bayesian |
| CRAN checks: | BNSP results |
| Reference manual: | BNSP.pdf |
| Package source: | BNSP_2.1.4.tar.gz |
| Windows binaries: | r-devel: BNSP_2.1.4.zip, r-release: BNSP_2.1.4.zip, r-oldrel: BNSP_2.1.4.zip |
| macOS binaries: | r-release: BNSP_2.1.4.tgz, r-oldrel: BNSP_2.1.4.tgz |
| Old sources: | BNSP archive |
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