Package: gemtc 0.8-4

gemtc: Network Meta-Analysis Using Bayesian Methods

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.

Authors:Gert van Valkenhoef, Joel Kuiper

gemtc_0.8-4.tar.gz
gemtc_0.8-4.zip(r-4.7)gemtc_0.8-4.zip(r-4.6)gemtc_0.8-4.zip(r-4.5)
gemtc_0.8-4.tgz(r-4.6-x86_64)gemtc_0.8-4.tgz(r-4.6-arm64)gemtc_0.8-4.tgz(r-4.5-x86_64)gemtc_0.8-4.tgz(r-4.5-arm64)
gemtc_0.8-4.tar.gz(r-4.7-arm64)gemtc_0.8-4.tar.gz(r-4.7-x86_64)gemtc_0.8-4.tar.gz(r-4.6-arm64)gemtc_0.8-4.tar.gz(r-4.6-x86_64)
gemtc_0.8-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
gemtc/json (API)
NEWS

# Install 'gemtc' in R:
install.packages('gemtc', repos = c('https://gertvv.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gertvv/gemtc/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
  • c++– GNU Standard C++ Library v3
Datasets:
  • atrialFibrillation - Prevention of stroke in atrial fibrillation patients
  • blocker - Beta blockers to prevent mortality after myocardial infarction
  • certolizumab - Certolizumab Pegol (CZP) for Rheumatoid Arthritis
  • depression - Treatment response in major depression
  • dietfat - Effects of low-fat diets on mortality
  • hfPrevention - Statins versus placebo in primary and secondary prevention of heart failure
  • parkinson - Mean off-time reduction in Parkinson's disease
  • parkinson_diff - Mean off-time reduction in Parkinson's disease
  • parkinson_shared - Mean off-time reduction in Parkinson's disease
  • smoking - Psychological treatments to aid smoking cessation
  • thrombolytic - Thrombolytic treatment after acute myocardial infarction

On CRAN:

Conda:

jagscpp

8.23 score 53 stars 1 packages 95 scripts 7.5k downloads 123 mentions 22 exports 68 dependencies

Last updated from:b94d86a304. Checks:11 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR131
linux-devel-x86_64ERROR155
source / vignettesOK155
linux-release-arm64ERROR137
linux-release-x86_64ERROR151
macos-release-arm64ERROR138
macos-release-x86_64ERROR326
macos-oldrel-arm64ERROR122
macos-oldrel-x86_64ERROR606
windows-develERROR403
windows-releaseERROR98
windows-oldrelERROR439
wasm-releaseOK122

Exports:blobbogramforestll.callmtc.anohemtc.data.studyrowmtc.deviancemtc.devplotmtc.hy.empirical.lormtc.hy.priormtc.levplotmtc.modelmtc.networkmtc.nodesplitmtc.nodesplit.comparisonsmtc.runplotCovariateEffectrank.probabilityrank.quantilesread.mtc.networkrelative.effectrelative.effect.tablesucra

Dependencies:bitbit64bootclicliprcodaCompQuadFormcpp11crayondigestdplyrfarvergenericsggplot2gluegtablehmsigraphisobandlabelinglatticelifecyclelme4magrittrMASSmathjaxrMatrixmetametabookmetadatmetaforminqanlmenloptrnumDerivpbapplypillarpkgconfigplyrprettyunitsprogresspurrrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasRglpkrjagsrlangS7scalesslamstringistringrtibbletidyselecttruncnormtzdbutf8vctrsviridisLitevroomwithrxml2

Readme and manuals

Help Manual

Help pageTopics
GeMTC: Network meta-analysis in Rgemtc-package gemtc mtc
Prevention of stroke in atrial fibrillation patientsatrialFibrillation
Plot a blobbogram (AKA forest plot)blobbogram forest
Beta blockers to prevent mortality after myocardial infarctionblocker
Certolizumab Pegol (CZP) for Rheumatoid Arthritiscertolizumab
Treatment response in major depressiondepression
Effects of low-fat diets on mortalitydietfat
Statins versus placebo in primary and secondary prevention of heart failurehfPrevention
Call a likelihood/link-specific functionll.call
Analysis of heterogeneity (ANOHE)mtc.anohe plot.mtc.anohe plot.mtc.anohe.summary print.mtc.anohe print.mtc.anohe.summary summary.mtc.anohe
Convert one-study-per-row datasetsmtc.data.studyrow
Inspect residual deviancemtc.deviance mtc.devplot mtc.levplot plot.mtc.deviance
Set priors for the heterogeneity parametermtc.hy.empirical.lor mtc.hy.prior
Generate network meta-analysis modelsmtc.model plot.mtc.model print.mtc.model summary.mtc.model
Create an mtc.networkmtc.network plot.mtc.network
Node-splitting analysis of inconsistencymtc.nodesplit mtc.nodesplit.comparisons plot.mtc.nodesplit plot.mtc.nodesplit.summary print.mtc.nodesplit print.mtc.nodesplit.summary summary.mtc.nodesplit
Running an 'mtc.model' using an MCMC sampleras.mcmc.list.mtc.result forest.mtc.result mtc.result mtc.run plot.mtc.result print.mtc.result summary.mtc.result
Mean off-time reduction in Parkinson's diseaseparkinson parkinson_diff parkinson_shared
Plot treatment effects versus covariate valuesplotCovariateEffect
Calculating rank-probabilitiesplot.mtc.rank.probability print.mtc.rank.probability rank.probability rank.quantiles sucra
Read mtc.network from legacy GeMTC XML files (.gemtc)read.mtc.network
Calculating relative effectsrelative.effect
Table of relative effectsas.data.frame.mtc.relative.effect.table forest.mtc.relative.effect.table print.mtc.relative.effect.table relative.effect.table
Psychological treatments to aid smoking cessationsmoking
Thrombolytic treatment after acute myocardial infarctionthrombolytic