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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. (2022) <doi:10.1002/sim.9376>, and 4.Dirichlet process mixtures, see Papageorgiou, G. (2019) <doi:10.1111/anzs.12273>.

Version: 2.2.3
Depends: R (≥ 3.5.0)
Imports: coda, ggplot2, plot3D, threejs, gridExtra, cubature, Formula, plyr, mgcv, corrplot, label.switching
LinkingTo: cubature
Suggests: mvtnorm, np
Published: 2023-05-25
DOI: 10.32614/CRAN.package.BNSP
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou <gpapageo at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: BNSP citation info
In views: Bayesian
CRAN checks: BNSP results

Documentation:

Reference manual: BNSP.pdf

Downloads:

Package source: BNSP_2.2.3.tar.gz
Windows binaries: r-devel: BNSP_2.2.3.zip, r-release: BNSP_2.2.3.zip, r-oldrel: BNSP_2.2.3.zip
macOS binaries: r-release (arm64): BNSP_2.2.3.tgz, r-oldrel (arm64): BNSP_2.2.3.tgz, r-release (x86_64): BNSP_2.2.3.tgz, r-oldrel (x86_64): BNSP_2.2.3.tgz
Old sources: BNSP archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BNSP to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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