# Run Dose-Response MBNMA Models

## Documentation for package ‘MBNMAdose’ version 0.2.7

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

add_index | Add arm indices and agent identifiers to a dataset
alog_pcfb | Studies of alogliptin for lowering blood glucose concentration in patients with type II diabetes
check.likelink | Check likelihood and link function
devplot | Plot deviance contributions from an MBNMA model
DR.comparisons | Adds placebo comparisons for dose-response relationship
drop.comp | Drop treatments from multi-arm (>2) studies for node-splitting
drop.disconnected | Drop studies that are not connected to the network reference treatment
fitplot | Plot fitted values from MBNMA model
get.prior | Get current priors from JAGS model code
getjagsdata | Prepares data for JAGS
GoutSUA_2wkCFB | Studies of treatments for Serum Uric Acid reduction in patients with gout
HF2PPITT | Studies of triptans for headache pain relief
inconsistency.loops | Identify comparisons in loops that fulfil criteria for node-splitting
mbnma.comparisons | Identify unique comparisons within a network
mbnma.emax | Run MBNMA model with an Emax dose-response function (without Hill parameter)
mbnma.emax.hill | Run MBNMA model with an Emax dose-response function (with a Hill parameter)
mbnma.exponential | Run MBNMA model with a exponential dose-response function
mbnma.linear | Run MBNMA model with a linear dose-response function
mbnma.network | Create an mbnma.network object
mbnma.run | Run MBNMA dose-response models
mbnma.update | Update MBNMA to monitor deviance nodes in the model
mbnma.validate.data | Validates that a dataset fulfils requirements for MBNMA
mbnma.write | Write MBNMA dose-response model JAGS code
nma.nodesplit | Node-splitting model for testing consistency at the treatment level
nma.run | Run an NMA model
osteopain_2wkabs | Studies of treatments for pain relief in patients with osteoarthritis
pDcalc | Calculate plugin pD from a JAGS model with univariate likelihood for studies with repeated measurements
plot.mbnma | Forest plot for results from dose-response MBNMA models
plot.mbnma.network | Create an mbnma.network object
plot.mbnma.predict | Plots predicted responses from a dose-response MBNMA model
plot.mbnma.rank | Plot histograms of rankings from MBNMA models
plot.nma | Run an NMA model
plot.nma.nodesplit | Node-splitting model for testing consistency at the treatment level
predict.mbnma | Predict responses for different doses of agents in a given population based on MBNMA dose-response models
print.mbnma.network | Print mbnma.network information to the console
print.mbnma.predict | Print summary information from an mbnma.predict object
print.mbnma.rank | Prints summary information about an mbnma.rank object
print.nma.nodesplit | Prints summary results from an nma.nodesplit object
rank | Set rank as a method
rank.mbnma | Rank parameter estimates
rank.mbnma.predict | Rank predicted doses of different agents
ref.synth | Synthesise single arm dose = 0 / placebo studies to estimate E0
rescale.link | Rescale data depending on the link function provided
summary.mbnma | Print summary of MBNMA results to the console
summary.mbnma.predict | Produces a summary data frame from an mbnma.predict object
summary.mbnma.rank | Generates summary data frames for an mbnma.rank object
summary.nma.nodesplit | Generates a summary data frame for nma.nodesplit objects