Bayesian Non- And Semi-Parametric Model Fitting

Documentation for package ‘BNSP’ version 2.2.3

BNSP-package	Bayesian non- and semi-parametric model fitting
ami	Amitriptyline dataset from Johnson and Wichern
BNSP	Bayesian non- and semi-parametric model fitting
chol	The Cholesky and modified Cholesky decompositions
clustering	Computes the similarity matrix
continue	Continues the sampler from where it stopped
dpmj	Dirichlet process mixtures of joint models
histCorr	Creates plots of correlation matrices
lmrm	Bayesian semiparametric modelling of covariance matrices for multivariate longitudinal data
mvrm	Bayesian semiparametric analysis of multivariate continuous responses, with variable selection
mvrm2mcmc	Convert posterior samples from function 'mvrm' into an object of class 'mcmc'
plot.mvrm	Creates plots of terms in the mean and/or variance models
plotCorr	Creates plots of the correlation matrices
predict.mvrm	Model predictions
print.mvrm	Prints an mvrm fit
s	mgcv constructor 's'
simD	Simulated dataset
simD2	Simulated dataset
sinusoid	Sinusoid terms in mvrm formulae
sm	Smooth terms in mvrm formulae
summary.mvrm	Summary of an mvrm fit
te	mgcv constructor 'te'
ti	mgcv constructor 'ti'