fit_selectivity: Fitting models to empirical selectivity data

In roliveros-ramos/empirical.selectivity: Empirical selectivity fitting and diagnostics

Fitting models to empirical selectivity data

Description

Fitting models to empirical selectivity data

Usage

fit_selectivity(
  object,
  pattern = 0,
  blocks = NULL,
  w = NULL,
  method = NULL,
  control = list(),
  FUN = NULL,
  ...
)

Arguments

object	An empirical selectivity object, extracted with the empirical_selectivity function.
pattern	Integer, the code for the selectivity model, as in SS.
blocks	Integer, with the maximum number of blocks to be fitted, or a vector with the year breaks for each block.
w	A vector of weights (one per year) or a character ('yield', 'Neff', 'Nsamp' or 'equal').
method	Method for creating the blocks, current available methods are 'equal' (equidistant placement) and 'cluster'.
control	A list with additional options for every method. See details.
FUN	Error function used for data fitting.
...	Additional arguments, not used currently.

roliveros-ramos/empirical.selectivity documentation built on Feb. 26, 2023, 4:58 a.m.