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 |