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BNSP (version 2.0.2)

Bayesian Non- And Semi-Parametric Model Fitting

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.

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Version

Install

install.packages('BNSP')

Monthly Downloads

429

Version

2.0.2

License

GPL (>= 2)

Maintainer

Georgios Papageorgiou

Last Published

August 28th, 2017

Functions in BNSP (2.0.2)

mvrm

Bayesian models for normally distributed responses and semiparametric mean and variance regression models
mvrm2mcmc

Convert posterior samples from function mvrm into an object of class `mcmc'
sm

Smooth terms in mvrm formulae
dnorm.pois

Bivariate Normal-Poisson distribution
plot.mvrm

Creates plots of terms in the mean and/or variance models
simD

Simulated dataset
BNSP-package

Bayesian non- and semi-parametric model fitting
bnpglm

Bayesian nonparametric generalized linear models