Bayesian Seemingly Unrelated Regression Models in
High-Dimensional Settings
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Documentation for package ‘BayesSUR’ version 2.2-1
Help Pages
| BayesSUR-package | Fitting BayesSUR models |
| 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 pharmacogenomic example |
| fitted.BayesSUR | get fitted responses |
| getEstimator | extract the posterior mean of parameters |
| plot.BayesSUR | create a selection of plots |
| plotCPO | plot conditional predictive ordinate |
| plotEstimator | plot heatmap of estimators |
| plotGraph | plot graph for response variables |
| plotManhattan | plot Manhattan-like plots |
| plotMCMCdiag | plot MCMC diagnostic plots |
| plotNetwork | plot 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 |