R: Bayesian Non- And Semi-Parametric Model Fitting

# Bayesian Non- And Semi-Parametric Model Fitting

## Documentation for package ‘BNSP’ version 2.2.3

- DESCRIPTION file

## Help Pages

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'