blocker                 Beta blockers to prevent mortality after
                        myocardial infarction
bnma-package            bnma: A package for network meta analysis using
                        Bayesian methods
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.
