| fit_classes {Petersen} | R Documentation |
LP_fit, LP_IS_fit, LP_SPAS_cit, CL_fit, LP_BTSPAS_fit_Diag, LP_BTSPAS_fit_NonDiag, LP_CL_fit classes.
Description
We assign a "class" (one of the classes above) to the results from one of the fitting methods. This class designation is only used to ensure that estimation routines have the correct type of fit when finding estimates of abundace, and model averaging only considers models of comparable class when creating the model averaging results of abundance.
Usage
fit_classes()
Details
The structure of an object of the above classes is roughly comparable across classes. The object should be a list with the following objects
-
summary A data frame with the model for the parameters of the model; the conditional log-likelihood; the number of parameters; the number of parameters, and method used to fit the model
-
data A data frame with the raw data used in the fit
-
fit Results of the fit including the estimates, SE, vcov, etc.
-
datetime Date and time the fit was done
Other objects may also be included in the list.
After a fit performed, estimates of ABUNDANCE are extracted using the xxx_est() function corresponding to the xxx_fit() function used to estimate parameters. This separation occurs because
abundance is a derived estimate; the fits are based on conditional likelihood (on the observed data) and the abundance parameter does not appear in the conditional likelihood. Abundance is usually estimated using a variation of a Horvitz-Thompson estimator.
you can obtain estimates of overall abundance, subsets of the population (e.g., sex or other strata) from the same fit, and so you don't need to do several fits to get several estimates of abundance.
Value
NOTHING. This is not a function, but ony documents how I use "classes".