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| BNSP-package | Bayesian non- and semi-parametric model fitting |
| 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 |
| 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 |
| sm | Smooth terms in mvrm formulae |
| summary.mvrm | Summary of an mvrm fit |
| te | mgcv constructor 'te' |
| ti | mgcv constructor 'ti' |