An internal function that fits the LBSPR model to a single year of length data
LBSPRfit_(
yr = 1,
LB_pars = NULL,
LB_lengths = NULL,
Control = list(),
pen = TRUE,
useCPP = TRUE,
verbose = TRUE
)
index of the year column to fit model to
an object of class 'LB_pars'
that contains the life history information
an object of class 'LB_lengths'
that contains the length data
a list of control options for the LBSPR model.
apply a penalty if estimate of selectivity is very high?
use cpp optimization code?
display messages?
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