Summarises the output created with simmr_mcmc_tdf
Produces textual summaries and convergence diagnostics for an object created
with simmr_mcmc_tdf. The different options are: 'diagnostics'
which produces Brooks-Gelman-Rubin diagnostics to assess MCMC convergence,
'quantiles' which produces credible intervals for the parameters,
'statistics' which produces means and standard deviations, and
'correlations' which produces correlations between the parameters.
## S3 method for class 'simmr_output_tdf'
summary(
object,
type = c("diagnostics", "quantiles", "statistics", "correlations"),
...
)object |
An object of class |
type |
The type of output required. At least none of 'diagnostics', 'quantiles', 'statistics', 'correlations' |
... |
Not used |
The quantile output allows easy calculation of 95 per cent credible intervals of the posterior dietary proportions. The Gelman diagnostic values should be close to 1 to ensure satisfactory convergence.
Multiple groups are not currently supported for estimating TDFs.
An list containing the following components:
gelman |
The convergence diagnostics |
quantiles |
The quantiles of each parameter from the posterior distribution |
statistics |
The means and standard deviations of each parameter |
correlations |
The posterior correlations between the parameters |
Note that this object is reported silently so will be discarded unless the function is called with an object as in the example below.
Andrew Parnell <andrew.parnell@mu.ie>
See simmr_mcmc_tdf for creating objects suitable for this
function, and many more examples. See also simmr_load for
creating simmr objects, plot.simmr_input for creating isospace
plots, plot.simmr_output for plotting output.
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