Bayesian Non- And Semi-Parametric Model Fitting R package BNSP version 2.2.3 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) 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>. Software Depends: R (>= 3.5.0) Imports: coda, ggplot2, plot3D, threejs, gridExtra, cubature, Formula, plyr, mgcv, corrplot, label.switching LinkingTo: cubature Suggests: mvtnorm, np Georgios Papageorgiou <gpapageo@gmail.com> Comprehensive R Archive Network (CRAN) Georgios Papageorgiou GPL (>= 2) 2023-05-25 application/tgz https://CRAN.R-project.org/package=BNSP doi:10.32614/CRAN.package.BNSP