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Computes the likelihood for a standardized CPUE index using a log-linear model.

Usage

get_cpue_like(
  data,
  parameters,
  number_ysa,
  sel_fya,
  weight_fya,
  creep_init = 1
)

Arguments

data

a list of data inputs (cpue_data, cpue_switch, etc.).

parameters

a list of parameter values (log_cpue_tau, log_cpue_omega, cpue_creep, log_cpue_q, etc.).

number_ysa

a 3D array [n_year, n_season, n_age] of numbers-at-age.

sel_fya

a 3D array [n_fishery, n_year, n_age] of selectivity by fishery, year, and age.

weight_fya

a 3D array [n_fishery, n_year, n_age] of weight-at-age by fishery and year.

creep_init

scalar initialization value for creeping adjustment (default 1).

Value

a numeric vector of negative log-likelihood contributions.