BNSP: Bayesian Non- And Semi-Parametric Model Fitting

MCMC algorithms & processing functions for: 1. single response multiple regression, see Papageorgiou, G. (2018) <doi:10.32614/RJ-2018-069>, 2. multivariate response multiple regression, with nonparametric models for the means, the variances and the correlation matrix, with variable selection, see Papageorgiou, G. and Marshall, B. C. (2020) <doi:10.1080/10618600.2020.1739534>, 3. joint mean-covariance models for multivariate responses, see Papageorgiou, G. (2020), and 4.Dirichlet process mixtures, see Papageorgiou, G. (2019) <doi:10.1111/anzs.12273>.

Version: 2.1.5
Depends: R (≥ 3.5.0)
Imports: coda, ggplot2, plot3D, threejs, gridExtra, cubature, Formula, plyr, mgcv, corrplot, label.switching
LinkingTo: cubature
Suggests: mvtnorm, np
Published: 2021-01-07
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou <gpapageo at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: BNSP citation info
In views: Bayesian
CRAN checks: BNSP results


Reference manual: BNSP.pdf
Package source: BNSP_2.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: BNSP_2.1.5.tgz, r-oldrel: BNSP_2.1.5.tgz
Old sources: BNSP archive


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