plot_posteriors-ubmsFit-method: Plot Posterior Distributions

In kenkellner/ubms: Bayesian Models for Data from Unmarked Animals using 'Stan'

Plot Posterior Distributions

Description

Plot posterior distributions for selected parameters. Posteriors can be represented as density plots or histograms.

Usage

## S4 method for signature 'ubmsFit'
plot_posteriors(object, pars = NULL, density = FALSE, ...)

Arguments

object	A fitted model of class ubmsFit
pars	A character vector of parameter names to include in the plot Look at names(object@stanfit) for the complete list of possible parameter names. If NULL, posteriors are shown for all parameters in the model summary output
density	If TRUE, show posteriors as density plots (one per chain). If FALSE, show posteriors as histograms of samples from all chains combined
...	Arguments passed to ggplot2::stat_density for density plots, or ggplot2::geom_histogram for histograms. For example, you can supply argument bins to control the number of histogram bins

Value

A ggplot

kenkellner/ubms documentation built on March 1, 2025, 7:02 a.m.