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
binplot                 Plot relative effects from NMAs performed at
                        multiple time-bins
copd                    Studies comparing Tiotropium, Aclidinium and
                        Placebo for maintenance treatment of moderate
                        to severe chronic obstructive pulmonary disease
cumrank                 Plot cumulative ranking curves from MBNMA
                        models
default.priors          Sets default priors for JAGS model code
devplot                 Plot deviance contributions from an MBNMA model
diabetes                Studies comparing treatments for type 2
                        diabetes
fitplot                 Plot fitted values from MBNMA model
gen.parameters.to.save
                        Automatically generate parameters to save for a
                        time-course MBNMA model
genmaxcols              Get large vector of distinct colours using
                        Rcolorbrewer
genspline               Generates spline basis matrices for fitting to
                        time-course function
get.closest.time        Create a dataset with a single time point from
                        each study closest to specified time
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
get.relative            Calculates relative effects/mean differences at
                        a particular time-point
getjagsdata             Prepares data for JAGS
getnmadata              Prepares NMA 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
hyalarthritis           Studies comparing hyaluronan (HA)–based
                        viscosupplements for osteoarthritis
inconsistency.loops     Identify comparisons in loops that fulfil
                        criteria for node-splitting
mb.comparisons          Identify unique comparisons within a network
                        (identical to MBNMAdose)
mb.make.contrast        Convert arm-based MBNMA data to contrast data
mb.nodesplit.comparisons
                        Identify comparisons in time-course MBNMA
                        datasets that fulfil criteria for
                        node-splitting
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 fulfils requirements
                        for MBNMA
mb.write                Write MBNMA time-course models JAGS code
nma.run                 Run an NMA model
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
plot.nodesplit          Perform node-splitting on a MBNMA time-course
                        network
predict.mbnma           Predict effects over time in a given population
                        based on MBNMA time-course models
print.mb.network        Print mb.network information 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
print.nodesplit         Prints basic results from a node-split to the
                        console
print.relative.array    Print posterior medians (95% credible
                        intervals) for table of relative effects/mean
                        differences between treatments/classes
radian.rescale          Calculate position of label with respect to
                        vertex location within a circle
rank                    Set rank as a method
rank.mb.predict         Rank predictions at a specific time point
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
remove.loops            Removes any loops from MBNMA model JAGS code
                        that do not contain any expressions
replace.prior           Replace original priors in an MBNMA model with
                        new priors
summary.mb.network      Print summary mb.network information to the
                        console
summary.mb.predict      Prints summary of mb.predict object
summary.mbnma           Print summary MBNMA results to the console
summary.nodesplit       Takes node-split results and produces summary
                        data frame
temax                   Emax time-course function
tfpoly                  Fractional polynomial time-course function
timeplot                Plot raw responses over time by treatment or
                        class
titp                    Integrated Two-Component Prediction (ITP)
                        function
tloglin                 Log-linear (exponential) time-course function
tpoly                   Polynomial time-course function
tspline                 Spline time-course functions
tuser                   User-defined time-course function
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.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.ref.synth         Write MBNMA time-course models JAGS code for
                        synthesis of studies investigating reference
                        treatment
write.timecourse        Adds sections of JAGS code for an MBNMA model
                        that correspond to alpha parameters
