bnma-package | bnma: A package for network meta analysis using Bayesian methods |

blocker | Beta blockers to prevent mortality after myocardial infarction |

calculate.contrast.deviance | Find deviance statistics such as DIC and pD. |

calculate.deviance | Find deviance statistics such as DIC and pD. |

cardiovascular | Trials of low dose and high dose statins for cardiovascular disease vs. placebo |

certolizumab | Trials of certolizumab pegol (CZP) for the treatment of rheumatoid arthritis in patients |

contrast.network.data | Make a network object for contrast-level data containing data, priors, and a JAGS model file |

contrast.network.deviance.plot | Make a contrast network deviance plot |

contrast.network.leverage.plot | Make a leverage plot |

contrast.network.run | Run the model using the network object |

draw.network.graph | Draws network graph using igraph package |

network.autocorr.diag | Generate autocorrelation diagnostics using coda package |

network.autocorr.plot | Generate autocorrelation plot using coda package |

network.covariate.plot | Make a covariate plot |

network.cumrank.tx.plot | Create a treatment cumulative rank plot |

network.data | Make a network object containing data, priors, and a JAGS model file |

network.deviance.plot | Make a deviance plot |

network.forest.plot | Draws forest plot |

network.gelman.diag | Use coda package to find Gelman-Rubin diagnostics |

network.gelman.plot | Use coda package to plot Gelman-Rubin diagnostic plot |

network.inconsistency.plot | Plotting comparison of posterior mean deviance in the consistency model and inconsistency model |

network.leverage.plot | Make a leverage plot |

network.rank.tx.plot | Create a treatment rank plot |

network.run | Run the model using the network object |

nodesplit.network.data | Make a network object containing data, priors, and a JAGS model file |

nodesplit.network.run | Run the model using the nodesplit network object |

parkinsons | Dopamine agonists as adjunct therapy in Parkinson's disease |

parkinsons_contrast | Dopamine agonists as adjunct therapy in Parkinson's disease |

plot.contrast.network.result | Plot traceplot and posterior density of the result using contrast data |

plot.network.result | Plot traceplot and posterior density of the result |

plot.ume.network.result | Plot traceplot and posterior density of the result using contrast data |

rank.tx | Create a treatment rank table |

relative.effects | Find relative effects for base treatment and comparison treatments |

relative.effects.table | Make a summary table for relative effects |

smoking | Smoking cessation counseling programs |

statins | Trials of statins for cholesterol lowering vs. placebo or usual care |

sucra | Calculate SUCRA |

summary.contrast.network.result | Summarize result run by 'contrast.network.run' |

summary.network.result | Summarize result run by 'network.run' |

summary.nodesplit.network.result | Summarize result run by 'nodesplit.network.run' |

summary.ume.network.result | Summarize result run by 'ume.network.run' |

thrombolytic | Thrombolytic drugs and percutaneous transluminal coronary angioplasty |

ume.network.data | Make a network object for the unrelated mean effects model (inconsistency model) containing data, priors, and a JAGS model file |

ume.network.run | Run the model using the network object |

variance.tx.effects | Calculate correlation matrix for multinomial heterogeneity parameter. |