model_recruitment: Build Nimble recruitment model.

In poissonconsulting/bboutools: Boreal Caribou Survival, Recruitment and Population Growth

Build Nimble recruitment model.

Description

This is for use by developers.

Usage

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.

poissonconsulting/bboutools documentation built on July 16, 2025, 11:14 p.m.