Build Nimble recruitment model.

Source: R/model-recruitment.R

This is for use by developers.

model_recruitment(
  data,
  year_random = TRUE,
  year_trend = TRUE,
  adult_female_proportion = 0.65,
  sex_ratio = 0.5,
  demographic_stochasticity = TRUE,
  priors = NULL
)

Arguments

data

The data.frame.

year_random

A flag indicating whether to include year random effect. If FALSE, year is fitted as a fixed effect.

year_trend

A flag indicating whether to fit a year trend effect. Year trend cannot be fit if there is also a fixed year effect (as opposed to random effect).

adult_female_proportion

A number between 0 and 1 of the expected proportion of adults that are female. If NULL, the proportion is estimated from the data (i.e., Cows ~ Binomial(adult_female_proportion, Cows + Bulls)) and a prior of dbeta(65, 35) is used. This prior can be changed via the priors argument.

sex_ratio

A number between 0 and 1 of the proportion of females at birth.

demographic_stochasticity

A flag indicating whether to include demographic_stochasticity in the recruitment model.

priors

A named vector of the parameter prior distribution values. Any missing values are assigned their default values in priors_survival() and priors_recruitment(). If NULL, all parameters are assigned their default priors.