add_index               Add follow-up time and arm indices to a dataset
alog_pcfb               Studies of alogliptin for lowering blood
                        glucose concentration in patients with type II
                        diabetes
compound.beta           Prepares beta time-course parameters for
                        mb.write()
devplot                 Plot deviance contributions from an MBNMA model
fitplot                 Plot fitted values from MBNMA model
gen.parameters.to.save
                        Automatically generate parameters to save for a
                        dose-response MBNMA model
genmaxcols              Get large vector of distinct colours using
                        Rcolorbrewer
get.earliest.time       Create a dataset with the earliest time point
                        only
get.latest.time         Create a dataset with the latest time point
                        only
get.model.vals          Get MBNMA model values
get.prior               Get current priors from JAGS model code
getjagsdata             Prepares data for JAGS
goutSUA_CFB             Studies of treatments for reducing serum uric
                        acid in patients with gout
goutSUA_CFBcomb         Studies of combined treatments for reducing
                        serum uric acid in patients with gout
inconsistency.loops     Identify comparisons in loops that fulfill
                        criteria for node-splitting
mb.comparisons          Identify unique comparisons within a network
                        (identical to MBNMAdose)
mb.emax                 Run MBNMA model with an Emax time-course
                        function (without a Hill parameter)
mb.emax.hill            Run MBNMA model with an Emax time-course
                        function and a Hill parameter
mb.exponential          Run MBNMA model with an exponential time-course
                        function
mb.fract.first          Run MBNMA model with a first-order fractional
                        polynomial time-course function
mb.fract.second         Run MBNMA model with a second-order fractional
                        polynomial time-course function
mb.linear               Run MBNMA model with a linear time-course
                        function
mb.make.contrast        Convert arm-based MBNMA data to contrast data
mb.nodesplit            Perform node-splitting on a MBNMA time-course
                        network
mb.nodesplit.comparisons
                        Identify comparisons in time-course MBNMA
                        datasets that fulfill criteria for
                        node-splitting
mb.piecelinear          Run MBNMA model with a piecewise linear
                        time-course function
mb.quadratic            Run MBNMA model with a quadratic time-course
                        function
mb.run                  Run MBNMA time-course models
mb.update               Update MBNMA to obtain deviance contributions
                        or fitted values
mb.validate.data        Validates that a dataset fulfills requirements
                        for MBNMA
mb.write                Write MBNMA time-course models JAGS code
obesityBW_CFB           Studies of treatments for reducing body weight
                        in patients with obesity
osteopain               Studies of pain relief medications for
                        osteoarthritis
pDcalc                  Calculate plugin pD from a JAGS model with
                        univariate likelihood for studies with repeated
                        measurements
plot.mb.network         Create an mb.network object
plot.mb.predict         Plots predicted responses from a time-course
                        MBNMA model
plot.mb.rank            Plot histograms of rankings from MBNMA models
plot.mbnma              Forest plot for results from time-course MBNMA
                        models
predict.mbnma           Predict responses over time in a given
                        population based on MBNMA time-course models
print.mb.network        Print mb.network information to the console
print.mb.nodesplit      Prints basic results from a node-split to the
                        console
print.mb.predict        Print summary information from an mb.predict
                        object
print.mb.rank           Prints a summary of rankings for each parameter
radian.rescale          Calculate position of label with respect to
                        vertex location within a circle
rank                    Set rank as a method
rank.mbnma              Rank parameters from a time-course MBNMA
rankauc                 Calculates ranking probabilities for AUC from a
                        time-course MBNMA
ref.comparisons         Identify unique comparisons relative to study
                        reference treatment within a network
ref.synth               Synthesise single arm studies with repeated
                        observations of the same treatment over time
ref.validate            Checks the validity of ref.resp if given as
                        data frame
replace.prior           Replace original priors in an MBNMA model with
                        new priors
summary.mb.nodesplit    Takes node-split results and produces summary
                        data frame
summary.mb.predict      Prints summary of mb.predict object
summary.mbnma           Print summary MBNMA results to the console
time.fun                Write time-course function component of JAGS
                        code for MBNMA time-course models
timeplot                Plot raw responses over time by treatment or
                        class
write.alpha             Adds sections of JAGS code for an MBNMA model
                        that correspond to alpha parameters
write.beta              Adds sections of JAGS code for an MBNMA model
                        that correspond to beta parameters
write.check             Checks validity of arguments for mb.write
write.cor               Adds correlation between time-course relative
                        effects
write.fract.poly        Adds additional sections of JAGS code for an
                        MBNMA model required for models with a
                        fractional polynomial time-course
write.inserts           Writes insert points for RegEx in MBNMA JAGS
                        code
write.likelihood        Adds sections of JAGS code for an MBNMA model
                        that correspond to the likelihood
write.model             Write the basic JAGS model code for MBNMA to
                        which other lines of model code can be added
write.piece.fract       Adds additional sections of JAGS code for an
                        MBNMA model required for models with a
                        piecewise linear or fractional polynomial
                        time-course
write.piecelinear       Adds additional sections of JAGS code for an
                        MBNMA model required for models with a
                        piecewise linear time-course
write.ref.synth         Write MBNMA time-course models JAGS code for
                        synthesis of studies investigating reference
                        treatment
write.remove.loops      Removes any loops from MBNMA model JAGS code
                        that do not contain any expressions
