| BayesSUR | Fitting BayesSUR models |
| BayesSUR_internal | BayesSUR_internal |
| coef.BayesSUR | coef method for class 'BayesSUR' |
| elpd | expected log pointwise predictive density |
| exampleEQTL | Simulated data set to mimic a small expression quantitative trait loci (eQTL) example |
| exampleGDSC | Preprocessed data set to mimic a small pharmacogenetic example |
| fitted.BayesSUR | get fitted responses from a 'BayesSUR' object |
| getEstimator | extract the posterior mean of the parameters |
| plot.BayesSUR | create a selection of plots for a 'BayesSUR' class object |
| plotCPO | plot the conditional predictive ordinate |
| plotEstimator | plot the estimators |
| plotGraph | plot the estimated graph for multiple response variables |
| plotManhattan | plot Manhattan-like plots for marginal posterior inclusion probabilities (mPIP) and numbers of responses of association for predictors |
| plotMCMCdiag | plot MCMC diagnostic plots |
| plotNetwork | plot the network representation of the associations between responses and predictors |
| predict.BayesSUR | predict method for class 'BayesSUR' |
| print.BayesSUR | print method for class 'BayesSUR' |
| summary.BayesSUR | summary method for class 'BayesSUR' |
| targetGene | targetGene |