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.
igraph (>= 1.0), meta (>= 2.1), plyr (>= 1.8), graphics,
grDevices, stats, utils, grid, rjags (>= 3-0), truncnorm
'anohe.R' 'blobbogram.R' 'code.R' 'data.R' 'deviance.R'
'inits.R' 'likelihoods.R' 'll-helper.counts.R'
'll.binom.cloglog.R' 'll.binom.log.R' 'll.binom.logit.R'
'll.call.R' 'll.normal.identity.R' 'll.poisson.log.R'
'minimum.diameter.spanning.tree.R' 'mtc.data.studyrow.R'
'mtc.model.R' 'mtc.model.consistency.R' 'mtc.model.nodesplit.R'
'mtc.model.ume.R' 'mtc.model.use.R' 'mtc.network.R'
'mtc.network.xml.R' 'mtc.result.R' 'mtc.run.R' 'nodesplit.R'
'priors.R' 'rank.probability.R' 'relative.effect.R'
'relative.effect.table.R' 'template.R'

igraph (>= 1.0), meta (>= 2.1), plyr (>= 1.8), graphics,
grDevices, stats, utils, grid, rjags (>= 4-0), truncnorm, Rglpk
'anohe.R' 'arrayize.R' 'blobbogram.R' 'template.R' 'code.R'
'data.R' 'deviance.R' 'forest.R' 'solveLP.R' 'inits.R'
'likelihoods.R' 'll-helper.counts.R' 'll.binom.cloglog.R'
'll.binom.log.R' 'll.binom.logit.R' 'll.call.R'
'll.normal.identity.R' 'll.poisson.log.R'
'minimum.diameter.spanning.tree.R' 'mtc.data.studyrow.R'
'mtc.hy.prior.R' 'mtc.model.R' 'mtc.model.consistency.R'
'mtc.model.nodesplit.R' 'mtc.model.regression.R'
'mtc.model.ume.R' 'mtc.model.use.R' 'mtc.network.R'
'mtc.network.xml.R' 'stopIfNotConsistent.R' 'mtc.result.R'
'mtc.run.R' 'nodesplit.R' 'plotCovariateEffect.R' 'priors.R'
'rank.probability.R' 'regression.R' 'relative.effect.R'
'relative.effect.table.R'

igraph (>= 1.0), meta (>= 2.1), plyr (>= 1.8), graphics,
grDevices, stats, utils, grid, rjags (>= 4-0), truncnorm,
Rglpk, forcats (>= 0.5.0)

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) <doi:10.1002/jrsm.1054>;
van Valkenhoef et al. (2015) <doi:10.1002/jrsm.1167>.