iteration: A wrapper function to find the best fitting MEHRSI habitat...

In rooperc4/MEHRSI: Habitat Model Estimates of Survey Abundances

Description

This function takes the habitat variables, observed CPUE, the equation form, starting parameters, the predicted presence or absence, the year, and the distribution. The function fits an intital full model and then iteratively reduces the number of parameters for each habitat variable. It then chooses the best-fitting reduced model and repeats the process until there is no improvement in AIC with the removal of additional parameters or variables. The function then returns a list with the fitting history and the best model results.

Usage

iteration(variables, form, ob_CPUE, pred_pa = 1, par, year,
  distribution = "normal")

Arguments

variables	Set of habitat variables to use in the modeling
form	for each variable, a form for the model equation (1, 2 or 3)
ob_CPUE	Observed CPUE at the transect
pred_pa	Predicted presence or absence at the transect
par	values for each of the parameters
year	Set of habitat variables to use in the modeling
distribution	Either "normal" (the default) or "gamma"

Examples

iteration()

rooperc4/MEHRSI documentation built on May 21, 2019, 9:35 a.m.