Bayesian Non- And Semi-Parametric Model Fitting
Amitriptyline dataset from Johnson and Wichern
Bayesian non- and semi-parametric model fitting
The Cholesky and modified Cholesky decompositions
Computes the similarity matrix
Continues the sampler from where it stopped
Dirichlet process mixtures of joint models
Creates plots of correlation matrices
Bayesian semiparametric modelling of covariance matrices for multivari...
Bayesian semiparametric analysis of multivariate continuous responses,...
Convert posterior samples from function mvrm into an object of class...
Creates plots of terms in the mean and/or variance models
Creates plots of the correlation matrices
Model predictions
Prints an mvrm fit
mgcv constructor s
Simulated dataset
Simulated dataset
Sinusoid terms in mvrm formulae
Smooth terms in mvrm formulae
Summary of an mvrm fit
mgcv constructor te
mgcv constructor ti
MCMC algorithms & processing functions for: 1. single response multiple regression, see Papageorgiou, G. (2018) <doi: 10.32614/RJ-2018-069>, 2. multivariate response multiple regression, with nonparametric models for the means, the variances and the correlation matrix, with variable selection, see Papageorgiou, G. and Marshall, B. C. (2020) <doi: 10.1080/10618600.2020.1739534>, 3. joint mean-covariance models for multivariate responses, see Papageorgiou, G. (2022) <doi: 10.1002/sim.9376>, and 4.Dirichlet process mixtures, see Papageorgiou, G. (2019) <doi: 10.1111/anzs.12273>.