Build Nimble survival model.

Source: R/model-survival.R

This is for use by developers.

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.