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
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gemtc.pdf |gemtc.html
gemtc/json (API)
NEWS

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

Peer review:

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

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • 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:

22 exports 43 stars 6.52 score 55 dependencies 1 dependents 123 mentions 67 scripts 1.9k downloads

Last updated 4 years agofrom:b94d86a304. Checks:OK: 1 ERROR: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-win-x86_64ERRORSep 08 2024
R-4.5-linux-x86_64ERRORSep 08 2024
R-4.4-win-x86_64ERRORSep 08 2024
R-4.4-mac-x86_64ERRORSep 08 2024
R-4.4-mac-aarch64ERRORSep 08 2024
R-4.3-win-x86_64ERRORSep 08 2024
R-4.3-mac-x86_64ERRORSep 08 2024
R-4.3-mac-aarch64ERRORSep 08 2024

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:bitbit64bootclicliprcodaCompQuadFormcpp11crayondplyrfansigenericsgluehmsigraphlatticelifecyclelme4magrittrMASSmathjaxrMatrixmetametadatmetaforminqanlmenloptrnumDerivpbapplypillarpkgconfigplyrprettyunitsprogresspurrrR6RcppRcppEigenreadrRglpkrjagsrlangslamstringistringrtibbletidyselecttruncnormtzdbutf8vctrsvroomwithrxml2

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