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.
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