BNSP: Bayesian Non- And Semi-Parametric Model Fitting

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: 2.0.7
Depends: R (≥ 3.1.0)
Imports: coda, ggplot2, plot3D, threejs, gridExtra, cubature, Formula, plyr
LinkingTo: cubature
Suggests: mvtnorm, np
Published: 2018-07-20
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

Downloads:

Reference manual: BNSP.pdf
Package source: BNSP_2.0.7.tar.gz
Windows binaries: r-devel: BNSP_2.0.7.zip, r-release: BNSP_2.0.7.zip, r-oldrel: BNSP_2.0.7.zip
OS X binaries: r-release: BNSP_2.0.7.tgz, r-oldrel: BNSP_2.0.7.tgz
Old sources: BNSP archive

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