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 |