plot_dists: Calculates Hellinger distance and plot prior and posterior...
In cbrown5/remixsiar: Post-processing of stable isotope mixing models

Description Usage Arguments Details Value Author(s)

This function calculates the Hellinger distance between prior and posterior It can also plot the distributions.

1	plot_dists(simmr_in, simmr_out, priorcontrol, plotdist = FALSE)

`simmr_in`	A `simmr_input` object.
`simmr_out`	A `simmr_output` object.
`priorcontrol`	A list with the means and standard deviations of the priors.
`plotdist`	A logical or integer vector indicating whether to plot the distributions. If an integer, then the group(s) to plot.

Values are numerical approximations. See BayeSens::hellinger for more details on estimation of Hellinger distances from MCMC chains. In general the continuous estimation will be more accurate, however large discrepencies between discrete and continuous estimates suggest bi-modality, in which case we recommned the discrete estimate be used. Items of the distfits list can be plotted to check distribution fits.

A remix_dists object that contains the Hellinger distances.

`hellinger_discrete`	Hellinger distance estimated using a discrete approximation of the densities
`hellinger_continuous`	Hellinger distance estimated using a continuous approximation of the densities
`distfits`	A list for `BayeSens::helldist` objects containing details of the functions fitted to the densities.