Evaluate priors

Usage

evaluate_priors(parameters, priors)

Arguments

parameters: A list specifying the parameters to be passed to MakeADFun. Can be generated using the get_parameters() function.
priors: A list of named lists specifying priors for the parameters. Can be generated using the get_priors() function.

Value

A numeric value.

Details

Supported distributions are normal, student (three degrees of freedom), lognormal, and beta (mean and precision). Priors act on the stored parameter scale; for example, a normal prior on log_B0 is a normal density on log spawning output. Locations and scales must be scalars or match the parameter block length. Indices identify blocks in parameters.

Examples

{
  parameters <- list(log_B0 = log(1e6))
  priors <- list(
    log_B0 = list(
      type = "normal", par1 = log(1e6), par2 = 1,
      index = which("log_B0" == names(parameters))
    )
  )
  evaluate_priors(parameters, priors)
}
#> [1] 0.9189385