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gemtc (version 1.1-0)

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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Install

install.packages('gemtc')

Monthly Downloads

1,852

Version

1.1-0

License

GPL-3

Issues

20

Pull Requests

2

Stars

46

Forks

27

Maintainer

Gert Valkenhoef

Last Published

July 8th, 2025

Functions in gemtc (1.1-0)

mtc.data.studyrow

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

Inspect residual deviance
rank.probability

Calculating rank-probabilities
relative.effect

Calculating relative effects
relative.effect.table

Table of relative effects
parkinson

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

Generate network meta-analysis models
mtc.hy.prior

Set priors for the heterogeneity parameter
smoking

Psychological treatments to aid smoking cessation
thrombolytic

Thrombolytic treatment after acute myocardial infarction
dietfat

Effects of low-fat diets on mortality
certolizumab

Certolizumab Pegol (CZP) for Rheumatoid Arthritis
hfPrevention

Statins versus placebo in primary and secondary prevention of heart failure
mtc.anohe

Analysis of heterogeneity (ANOHE)
ll.call

Call a likelihood/link-specific function
blocker

Beta blockers to prevent mortality after myocardial infarction
atrialFibrillation

Prevention of stroke in atrial fibrillation patients
blobbogram

Plot a blobbogram (AKA forest plot)
depression

Treatment response in major depression
gemtc-package

GeMTC: Network meta-analysis in R
mtc.run

Running an mtc.model using an MCMC sampler
mtc.network

Create an mtc.network
mtc.nodesplit

Node-splitting analysis of inconsistency
plotCovariateEffect

Plot treatment effects versus covariate values