Bayesian Network Meta-Analysis using 'JAGS'


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Documentation for package ‘bnma’ version 1.4.0

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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.