# BayesSUR v1.1-2

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## Bayesian Seemingly Unrelated Regression

Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Banterle et al. (2018) <doi:10.1101/467019>.

## Functions in BayesSUR

 Name Description coef.BayesSUR extract the posterior mean of the coefficients of a "BayesSUR" class object plot.CPO plot the conditional predictive ordinate example_GDSC Preprocessed data set to mimic a small pharmacogenetic example fitted.BayesSUR fitted response values corresponds to the posterior mean estimates elpd measure the prediction accuracy by the expected log pointwise predictive density plot.Estimator plot the posterior mean estimators plot.Network plot the network representation of the associations between responses and predictors 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 print.BayesSUR print a short summary of the Bayesian Seemingly Unrelated Regressions Fits summary.BayesSUR summarizing Bayesian Seemingly Unrelated Regressions Fits targetGene targetGene predict.BayesSUR predict responses corresponding to the posterior mean of the coefficients, return posterior mean of coefficients or indices of nonzero coefficients plot.ResponseGraph plot the estimated graph for multiple response variables BayesSUR_internal BayesSUR_internal getEstimator extract the posterior mean of the parameters BayesSUR main function of the package example_eQTL Simulated data set to mimic a small expression quantitative trait loci (eQTL) example plot.BayesSUR create a selection of plots for a "BayesSUR" class object No Results!