Package: BNSP
Title: Bayesian Non- And Semi-Parametric Model Fitting
Version: 2.2.3
Date: 2023-05-25
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: 2026-06-14 07:18:34 UTC; root
Config/pak/sysreqs: cmake libglpk-dev make libuv1-dev libxml2-dev
Repository: https://papgeo.r-universe.dev
Date/Publication: 2023-05-25 09:40:07 UTC
RemoteUrl: https://github.com/cran/BNSP
RemoteRef: HEAD
RemoteSha: 413e0a42026002d565a3f9ade3617b75371f92f5