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. |