Man pages for FAUBZhang/BayesBoost
Bayesian Boosting for Linear Mixed Models
| bayesboost | BayesBoost algorithm for linear mixed model |
| bdiag_m | Fast version of Matrix:: .bdiag() |
| cls | Componentwise least square |
| earlyStopping | cAIC-based stopping criteria |
| estimate_mode | get posterior mode |
| hampel | Hampel Filter |
| sample_beta | Sample beta from multivariate normal distribution |
| sample_gamma | Sample gamma from multivariate normal distribution |
| sample_Q | Sample Q from inverse Wishart distribution |
| sample_sigma2 | Sample sigma2 from inverse Gamma distribution |
| sample_tau2 | Sample tau2 from inverse Gamma distribution |
| X_i_fun | Get cluster design matrix X_i of the fixed effects |
| y_i_fun | Get clusterwise response y_i |
| Z_i_fun | Get cluster design matrix Z_i of the random effects |
