BNSP

Bayesian Non- And Semi-Parametric Model Fitting

Markov chain Monte Carlo algorithms for non- and semi-parametric models: 1. Dirichlet process mixtures & 2. spike-slab for variable selection in mean/variance regression models.

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Description file content

Package
BNSP
Title
Bayesian Non- And Semi-Parametric Model Fitting
Version
2.0.7
Date
2018-07-20
Author
Georgios Papageorgiou
Maintainer
Georgios Papageorgiou
Description
Markov chain Monte Carlo algorithms for non- and semi-parametric models: 1. Dirichlet process mixtures & 2. spike-slab for variable selection in mean/variance regression models.
Depends
R (>= 3.1.0)
Imports
coda, ggplot2, plot3D, threejs, gridExtra, cubature, Formula, plyr
LinkingTo
cubature
Suggests
mvtnorm, np
License
GPL (>= 2)
URL
NeedsCompilation
yes
Packaged
2018-07-20 09:22:05 UTC; papgeo
Repository
CRAN
Date/Publication
2018-07-20 09:50:07 UTC

install.packages('BNSP')

2.0.7

28 days ago

http://www.bbk.ac.uk/ems/faculty/papageorgiou/BNSP

Georgios Papageorgiou

GPL (>= 2)

Depends on

R (>= 3.1.0)

Imports

coda, ggplot2, plot3D, threejs, gridExtra, cubature, Formula, plyr

Suggests

mvtnorm, np

Discussions