Package: BNSP
Title: Bayesian Non- And Semi-Parametric Model Fitting
Version: 2.2.2
Date: 2023-03-26
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou <gpapageo@gmail.com>
Description: 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>.
Depends: R (>= 3.5.0)
Imports: coda, ggplot2, plot3D, threejs, gridExtra, cubature, Formula,
        plyr, mgcv, corrplot, label.switching
LinkingTo: cubature
Suggests: mvtnorm, np
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2023-03-26 08:14:02 UTC; papgeo
Repository: CRAN
Date/Publication: 2023-03-26 08:40:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 18:08:59 UTC; windows
Archs: i386, x64
