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:
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