API for bnma
Bayesian Network Meta-Analysis using 'JAGS'

Global functions
Basetreat Source code
NonbaseSweep Source code
PairXY Source code
Sweeptreat Source code
add.fictitious.row Source code
add.mcmc Source code
baseline.risk.rjags Source code
baseline.rjags Source code
binomial.inits Source code
blocker Man page
bnma-package Man page
calculate.baseline.log.odds Source code
calculate.contrast.deviance Man page Source code
calculate.covariate.mean Source code
calculate.deviance Man page Source code
cardiovascular Man page
certolizumab Man page
change.dimensions Source code
check.for.errors Source code
check.hy.prior Source code
contrast.hy.prior.rjags Source code
contrast.inits Source code
contrast.make.matrix Source code
contrast.network.data Man page Source code
contrast.network.deviance.plot Man page Source code
contrast.network.leverage.plot Man page Source code
contrast.network.rjags Source code
contrast.network.run Man page Source code
covariate.rjags Source code
draw.network.graph Man page Source code
extra.pars.save.check Source code
find.characteristics Source code
find.max.gelman Source code
find.max.gelman.variable Source code
find.nodesplit.parameters Source code
hy.prior.Eta.rjags Source code
hy.prior.bl.rjags Source code
hy.prior.cov.rjags Source code
hy.prior.default Source code
hy.prior.rjags Source code
hy.prior.update Source code
jags.fit Source code
make.byStudy.Outcome Source code
make.byStudy.matrix Source code
make.inits Source code
model.binomial Source code
model.multinomial Source code
model.multinomial.complete Source code
model.multinomial.prior Source code
model.normal Source code
model.randomeffects.threearms Source code
model.randomeffects.twoarms Source code
multinomial.inits Source code
network.autocorr.diag Man page Source code
network.autocorr.plot Man page Source code
network.covariate.plot Man page Source code
network.cumrank.tx.plot Man page Source code
network.data Man page Source code
network.deviance.plot Man page Source code
network.forest.plot Man page Source code
network.gelman.diag Man page Source code
network.gelman.plot Man page Source code
network.inits Source code
network.leverage.plot Man page Source code
network.prior.default Source code
network.rank.tx.plot Man page Source code
network.rjags Source code
network.run Man page Source code
new.mcmc Source code
nodesplit.model.binomial Source code
nodesplit.model.normal Source code
nodesplit.network.data Man page Source code
nodesplit.network.rjags Source code
nodesplit.network.run Man page Source code
normal.inits Source code
parkinsons Man page
parkinsons_contrast Man page
pick.summary.variables Source code
pick.summary.variables.contrast Source code
pick.summary.variables.nodesplit Source code
pick.summary.variables.ume Source code
plot.contrast.network.result Man page Source code
plot.network.result Man page Source code
plot.ume.network.result Man page Source code
preprocess.data Source code
rank.rjags Source code
rank.rjags.multinomial Source code
rank.tx Man page Source code
relabel.vec Source code
relative.effects Man page Source code
relative.effects.table Man page Source code
smoking Man page
statins Man page
sucra Man page Source code
summary.contrast.network.result Man page Source code
summary.network.result Man page Source code
summary.nodesplit.network.result Man page Source code
summary.ume.network.result Man page Source code
thrombolytic Man page
transform.data Source code
ume.binomial.inits Source code
ume.binomial.rjags Source code
ume.hy.prior.rjags Source code
ume.make.inits Source code
ume.multinomial.inits Source code
ume.multinomial.rjags Source code
ume.network.data Man page Source code
ume.network.inits Source code
ume.network.rjags Source code
ume.network.run Man page Source code
ume.normal.inits Source code
ume.normal.rjags Source code
variance.tx.effects Man page Source code
bnma documentation built on Dec. 10, 2019, 5:07 p.m.