R: Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings

# Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings

## Documentation for package ‘BayesSUR’ version 2.3-3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## 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