model_survival: Build Nimble survival model.

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

Build Nimble survival model.

Description

This is for use by developers.

Usage

model_survival(
  data,
  year_random = TRUE,
  year_trend = FALSE,
  priors = NULL,
  build_derivs = TRUE
)

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).
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.
build_derivs	A flag indicating whether to build derivatives Laplace approximation.

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