Bayesian Non- And Semi-Parametric Model Fitting

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Documentation for package ‘BNSP’ version 2.2.3

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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'