Plot histograms of rankings from MBNMA models
plot.mb.rank.RdPlot histograms of rankings from MBNMA models
Usage
# S3 method for mb.rank
plot(x, treat.labs = NULL, ...)Arguments
- x
An object of class
"mb.rank"generated byrank.mbnma()- treat.labs
A vector of treatment labels in the same order as treatment codes. Easiest to use treatment labels stored by
mb.network()- ...
Arguments to be sent to
ggplot2::ggplot()
Value
A histogram that shows rankings for each treatment/agent/prediction.
The object returned is an object of class c("gg", "ggplot").
Examples
# \donttest{
# Create an mb.network object from a dataset
painnet <- mb.network(osteopain)
#> Reference treatment is `Pl_0`
#> Studies reporting change from baseline automatically identified from the data
# Run an MBNMA model with an Emax time-course
emax <- mb.run(painnet,
fun=temax(pool.emax="rel", method.emax="common",
pool.et50="abs", method.et50="random"),
positive.scale=TRUE)
#> 'et50' parameters must take positive values.
#> Default half-normal prior restricts posterior to positive values.
#> Compiling model graph
#> Resolving undeclared variables
#> Allocating nodes
#> Graph information:
#> Observed stochastic nodes: 417
#> Unobserved stochastic nodes: 194
#> Total graph size: 8240
#>
#> Initializing model
#>
# Calculate treatment rankings for AUC and emax
ranks <- rank(emax,
param=c("auc"),
int.range=c(0,15), n.iter=500)
#>
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# Plot histograms for ranking by AUC
plot(ranks)
# }