Markov chain Monte Carlo algorithms for non- and semi-parametric models: 1. Dirichlet process mixtures & 2. spike-slab for variable selection in mean/variance regression models.
| Version: | 2.0.8 |
| Depends: | R (≥ 3.1.0) |
| Imports: | coda, ggplot2, plot3D, threejs, gridExtra, cubature, Formula, plyr, mgcv |
| LinkingTo: | cubature |
| Suggests: | mvtnorm, np |
| Published: | 2018-09-27 |
| 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 |
| Materials: | ChangeLog |
| CRAN checks: | BNSP results |
| Reference manual: | BNSP.pdf |
| Package source: | BNSP_2.0.8.tar.gz |
| Windows binaries: | r-devel: BNSP_2.0.8.zip, r-release: BNSP_2.0.8.zip, r-oldrel: BNSP_2.0.8.zip |
| OS X binaries: | r-release: BNSP_2.0.8.tgz, r-oldrel: BNSP_2.0.8.tgz |
| Old sources: | BNSP archive |
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