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