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 |
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