BNSP: Bayesian Non- And Semi-Parametric Model Fitting

MCMC algorithms & processing functions for non- and semi-parametric models: 1. Dirichlet process mixtures & 2. spike-slab for multivariate (and univariate) response analysis, with nonparametric models for the means, the variances and the correlation matrix.

Version: 2.1.0
Depends: R (≥ 3.1.0)
Imports: coda, ggplot2, plot3D, threejs, gridExtra, cubature, Formula, plyr, mgcv, corrplot
LinkingTo: cubature
Suggests: mvtnorm, np
Published: 2019-05-24
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou <gpapageo at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: BNSP citation info
CRAN checks: BNSP results


Reference manual: BNSP.pdf
Package source: BNSP_2.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: BNSP_2.1.0.tgz, r-oldrel: BNSP_2.1.0.tgz
Old sources: BNSP archive


Please use the canonical form to link to this page.