Resolve a single parameter realization from Bayesian posteriors — parameters • forestIPM

Resolve a single parameter realization from Bayesian posteriors

Usage

parameters(mod, draw = "random", seed = NULL)

Arguments

mod: An ipm_spModel object.
draw: Character "mean" or "random", or a positive integer 1-1000 selecting a specific posterior draw index.
seed: Integer or NULL. Random seed. When draw = "random" and seed = NULL, a seed is auto-generated so the draw is reproducible. Retrieve it from $seed on the returned object.

Value

An object of S3 class "ipm_parameters".

Examples

df <- data.frame(size_mm = c(150, 200, 350),
                 species_id = "ABIBAL",
                 plot_size  = 1000)
s    <- stand(df)
mod  <- species_model(s)
pars <- parameters(mod, draw = "mean")
print(pars)
#> <ipm_parameters>  draw=mean | 1 species