| plot_coef,commOccu-method | R Documentation | 
Plot effect sizes for all species in a community (multi-species) occupancy model. Currently only supports continuous covariates, not categorical covariates.
## S4 method for signature 'commOccu'
plot_coef(
  object,
  mcmc.list,
  submodel = "state",
  ordered = TRUE,
  combine = FALSE,
  outdir,
  level = c(outer = 0.95, inner = 0.75),
  colorby = "significance",
  scales = "free_y",
  community_lines = FALSE,
  ...
)
| object | 
 | 
| mcmc.list | mcmc.list. Output of  | 
| submodel | character. Submodel to get plots for. Can be  | 
| ordered | logical. Order species in plot by median effect (TRUE) or by species name (FALSE) | 
| combine | logical. Combine multiple plots into one plot (via facets)? | 
| outdir | character. Directory to save plots to (optional) | 
| level | numeric. Probability mass to include in the uncertainty interval (two values named "outer" and "inner", in that order). Second value (= inner interval) will be plotted thicker. | 
| colorby | character. Whether to color estimates by  | 
| scales | character. Passed to  | 
| community_lines | logical. Add faint vertical lines to the plot indicating median community effect (solid line) and its confidence interval (first value from  | 
| ... | additional arguments for  | 
Users who wish to create their own visualizations can use the data stored in the ggplot output. It is accessed via e.g. output$covariate_name$data
A list of ggplot objects (one list item per covariate).
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