Man pages for MikeJSeo/bnma
Bayesian Network Meta-Analysis using 'JAGS'
| blocker | Beta blockers to prevent mortality after myocardial... |
| bnma-package | bnma: A package for network meta analysis using Bayesian... |
| 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... |
| certolizumab | Trials of certolizumab pegol (CZP) for the treatment of... |
| contrast.network.data | Make a network object for contrast-level data containing... |
| 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... |
| 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... |
| 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... |
| 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... |
| plot.network.result | Plot traceplot and posterior density of the result |
| plot.ume.network.result | Plot traceplot and posterior density of the result using... |
| rank.tx | Create a treatment rank table |
| relative.effects | Find relative effects for base treatment and comparison... |
| 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... |
| 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... |
| ume.network.data | Make a network object for the unrelated mean effects model... |
| ume.network.run | Run the model using the network object |
| variance.tx.effects | Calculate correlation matrix for multinomial heterogeneity... |
