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. |