Posterior summaries of node-splitting models (nma_nodesplit and nma_nodesplit_df objects) can be produced using the summary() method, and plotted using the plot() method.
## S3 method for class 'nma_nodesplit_df'summary( object, consistency =NULL,..., probs = c(0.025,0.25,0.5,0.75,0.975))## S3 method for class 'nma_nodesplit'summary( object, consistency =NULL,..., probs = c(0.025,0.25,0.5,0.75,0.975))## S3 method for class 'nma_nodesplit'plot(x, consistency =NULL,...)## S3 method for class 'nma_nodesplit_df'plot(x, consistency =NULL,...)
Arguments
consistency: Optional, a stan_nma object for the corresponding fitted consistency model, to display the network estimates alongside the direct and indirect estimates. The fitted consistency model present in the nma_nodesplit_df object will be used if this is present (see get_nodesplits()).
...: Additional arguments passed on to other methods
probs: Numeric vector of specifying quantiles of interest, default c(0.025, 0.25, 0.5, 0.75, 0.975)
x, object: A nma_nodesplit or nma_nodesplit_df object
Returns
A nodesplit_summary object
Details
The plot() method is a shortcut for plot(summary(nma_nodesplit)). For details of plotting options, see plot.nodesplit_summary().
Examples
# Run smoking node-splitting example if not already availableif(!exists("smk_fit_RE_nodesplit")) example("example_smk_nodesplit", run.donttest =TRUE)# Summarise the node-splitting resultssummary(smk_fit_RE_nodesplit)# Plot the node-splitting resultsplot(smk_fit_RE_nodesplit)