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gemtc (version 1.1-2)

Network Meta-Analysis Using Bayesian Methods

Description

Network meta-analyses (mixed treatment comparisons) in the Bayesian framework using JAGS. Includes methods to assess heterogeneity and inconsistency, and a number of standard visualizations. van Valkenhoef et al. (2012) ; van Valkenhoef et al. (2015) .

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Version

Install

install.packages('gemtc')

Monthly Downloads

3,924

Version

1.1-2

License

GPL-3

Issues

21

Pull Requests

1

Stars

54

Forks

28

Maintainer

Gert Valkenhoef

Last Published

August 21st, 2026

Functions in gemtc (1.1-2)

mtc.run

Running an mtc.model using an MCMC sampler
plotCovariateEffect

Plot treatment effects versus covariate values
parkinson

Mean off-time reduction in Parkinson's disease
mtc.data.studyrow

Convert one-study-per-row datasets
mtc.deviance

Inspect residual deviance
rank.probability

Calculating rank-probabilities
mtc.hy.prior

Set priors for the heterogeneity parameter
mtc.model

Generate network meta-analysis models
relative.effect.table

Table of relative effects
relative.effect

Calculating relative effects
smoking

Psychological treatments to aid smoking cessation
thrombolytic

Thrombolytic treatment after acute myocardial infarction
mtc.network

Create an mtc.network
mtc.nodesplit

Node-splitting analysis of inconsistency
certolizumab

Certolizumab Pegol (CZP) for Rheumatoid Arthritis
mtc.anohe

Analysis of heterogeneity (ANOHE)
hfPrevention

Statins versus placebo in primary and secondary prevention of heart failure
dietfat

Effects of low-fat diets on mortality
depression

Treatment response in major depression
gemtc-package

GeMTC: Network meta-analysis in R
blocker

Beta blockers to prevent mortality after myocardial infarction
ll.call

Call a likelihood/link-specific function
blobbogram

Plot a blobbogram (AKA forest plot)
atrialFibrillation

Prevention of stroke in atrial fibrillation patients