Multiple pp_check plots per species

Usage

multi_pp_check(
  object,
  plotfun = "dens_overlay",
  species = NULL,
  ndraws = NULL,
  xlim = NULL,
  ylim = NULL,
  titles = character(),
  subtitles = character(),
  legends = TRUE,
  save_gg_objects = TRUE,
  grid_args = list(...),
  ...
)

Arguments

object: The jsdmStanFit model object
plotfun: The ppc plot function to use, given as a character string. The default is to call ppc_dens_overlay. Can be specified as either the entire name of function as a character string or without the ppc_ prefix.
species: Which species should be included, by default all
ndraws: How many draws should be used within the plots
xlim, ylim: Optionally, numeric vectors of length 2 specifying lower and upper limits for the axes that will be shared across all plots.
titles, subtitles: Optional character vectors of plot titles and subtitles. If specified, titles and subtitles must must have length equal to the number of plots specified.
legends: If any of the plots have legends should they be displayed? Defaults to TRUE.
save_gg_objects: If TRUE, the default, then the ggplot objects specified in ... or via the plots argument are saved in a list in the "bayesplots" component of the returned object. Setting this to FALSE will make the returned object smaller but these individual plot objects will not be available.
grid_args: An optional named list of arguments to pass to gridExtra::arrangeGrob() (nrow, ncol, widths, etc.).
...: Other options passed to the bayesplot PPC function or posterior_predict. Note that the same value will be used for every species included (e.g. binwidth for a histogram cannot be specified by species).

Value

An object of class "bayesplot_grid", for more information see bayesplot::bayesplot_grid()