plot_effects-commOccu-method: Plot Marginal Effects of Covariates

In camtrapR: Camera Trap Data Management and Preparation of Occupancy and Spatial Capture-Recapture Analyses

Plot Marginal Effects of Covariates

Description

Plot marginal effect plots (= response curves if covariates are continuous) for all species in a community (multi-species) occupancy model. Takes into account species-specific intercepts (if any). Currently only supports continuous covariates, not categorical covariates.

Usage

## S4 method for signature 'commOccu'
plot_effects(
  object,
  mcmc.list,
  submodel = "state",
  draws = 1000,
  outdir,
  level = 0.95,
  keyword_squared = "_squared",
  ...
)

Arguments

object	commOccu object
mcmc.list	mcmc.list. Output of fit called on a commOccu object
submodel	Submodel to get plots for. Can be "det" or "state"
draws	Number of draws from the posterior to use when generating the plots. If fewer than draws are available, they are all used
outdir	Directory to save plots to (optional)
level	Probability mass to include in the uncertainty interval
keyword_squared	character. A suffix in covariate names in the model that indicates a covariate is a quadratic effect of another covariate which does not carry the suffix in its name.
...	additional arguments for ggsave

Value

list of ggplot objects

camtrapR documentation built on May 11, 2022, 5:18 p.m.