LBSPR (version 0.1.6)

LBSPRfit: Fit LBSPR model to length data

Description

A function that fits the LBSPR model to length data

Usage

LBSPRfit(
  LB_pars = NULL,
  LB_lengths = NULL,
  yrs = NA,
  Control = list(),
  pen = TRUE,
  verbose = TRUE,
  useCPP = TRUE,
  ...
)

Arguments

LB_pars

an object of class 'LB_pars' that contains the life history information

LB_lengths

an object of class 'LB_lengths' that contains the length data

yrs

index of years to include. If NA the model is run on all years

Control

a list of control options for the LBSPR model.

pen

apply a penalty if estimate of selectivity is very high?

verbose

display messages?

useCPP

use cpp optimization code?

...

additional parameters to pass to FilterSmooth

Value

a object of class 'LB_obj'

Details

The Control options are:

modtype

Model Type: either Growth-Type-Group Model (default: "GTG") or Age-Structured ("absel")

maxsd

Maximum number of standard deviations for length-at-age distribution (default is 2)

ngtg

Number of groups for the GTG model. Default is 13

P

Proportion of survival of initial cohort for maximum age for Age-Structured model. Default is 0.01

Nage

Number of pseudo-age classes in the Age Structured model. Default is 101

maxFM

Maximum value for F/M. Estimated values higher than this are trunctated to maxFM. Default is 4

Examples

# NOT RUN {
MyFit <- LBSPRfit(LBparameters, LBlengths)
MyFit@Ests
# }
# NOT RUN {
# }