Fit LBSPR model to length data

A function that fits the LBSPR model to length data

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`

a object of class 'LB_obj'

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

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