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 pharmacogenetic example |
fitted.BayesSUR |
get fitted responses from a 'BayesSUR' object |
getEstimator |
extract the posterior mean of the parameters |
plot.BayesSUR |
create a selection of plots for a 'BayesSUR' class object |
plotCPO |
plot the conditional predictive ordinate |
plotEstimator |
plot the estimators |
plotGraph |
plot the estimated graph for multiple response variables |
plotManhattan |
plot Manhattan-like plots for marginal posterior inclusion probabilities (mPIP) and numbers of responses of association for predictors |
plotMCMCdiag |
plot MCMC diagnostic plots |
plotNetwork |
plot the 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 |