| BayesSUR | main function of the package |
| BayesSUR_internal | BayesSUR_internal |
| coef.BayesSUR | extract the posterior mean of the coefficients of a "BayesSUR" class object |
| elpd | measure the prediction accuracy by the expected log pointwise predictive density |
| example_eQTL | Simulated data set to mimic a small expression quantitative trait loci (eQTL) example |
| example_GDSC | Preprocessed data set to mimic a small pharmacogenetic example |
| fitted.BayesSUR | fitted response values corresponds to the posterior mean estimates |
| get.estimator | extract the posterior mean of the parameters |
| plot.BayesSUR | create a selection of plots for a "BayesSUR" class object |
| plot.CPO | plot the conditional predictive ordinate |
| plot.estimator | plot the posterior mean estimators |
| plot.Manhattan | plot Manhattan-like plots for marginal posterior inclusion probabilities (mPIP) and numbers of responses of association for predictors |
| plot.MCMCdiag | show trace plots and diagnostic density plots |
| plot.network | plot the network representation of the associations between responses and predictors |
| plot.response.graph | plot the estimated graph for multiple response variables |
| predict.BayesSUR | predict responses corresponding to the posterior mean of the coefficients, return posterior mean of coefficients or indices of nonzero coefficients |
| print.BayesSUR | print a short summary of the Bayesian Seemingly Unrelated Regressions Fits |
| summary.BayesSUR | summarizing Bayesian Seemingly Unrelated Regressions Fits |
| targetGene | targetGene |