Package: BNSP
Title: Bayesian Non- And Semi-Parametric Model Fitting
Version: 2.0.9
Date: 2019-05-15
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou <gpapageo@gmail.com>
Description: Markov chain Monte Carlo algorithms for non- and semi-parametric models: 1. Dirichlet process mixtures & 2. spike-slab priors for variable selection mean/variance regression models, for univariate and multivariate response models.
Depends: R (>= 3.1.0)
Imports: coda, ggplot2, plot3D, threejs, gridExtra, cubature, Formula,
        plyr, mgcv, corrplot
LinkingTo: cubature
Suggests: mvtnorm, np
License: GPL (>= 2)
URL: http://www.bbk.ac.uk/ems/faculty/papageorgiou/BNSP
NeedsCompilation: yes
Packaged: 2019-05-15 11:28:41 UTC; papgeo
Repository: CRAN
Date/Publication: 2019-05-15 12:40:03 UTC
