Compares model, the name of the type of model (eg "CJS") to the list
of acceptable models to determine if it is supported and then creates some
global fields specific to that type of model that are used to modify the
operation of the code.
setup.model(model, nocc, mixtures = 1)model.list - a list with following elements
encounter type string for MARK input; typically same as model
number of capture occasions
number of time intervals relative to number of occasions (0 or -1)
number of mixtures if any
logical; TRUE if model produces derived estimates
name of model type (must be in vector valid.models)
length of capture history string
number of mixtures
Jeff Laake
In general, the structure of the different types of models (e.g., "CJS","Recovery",...etc) are very similar with some minor exceptions. This function is not intended to be called directly by the user but it is documented to enable other models to be added. This function is called by other functions to validate and setup model specific parameters. For example, for live/dead models, the length of the capture history is twice the number of capture occasions and the number of time intervals equals the number of capture occasions because the final interval is included with dead recoveries. Whereas, for recapture models, the length of the capture history is the number of capture occasions and the number of time intervals is 1 less than the number of occasions. This function validates that the model is valid and sets up some parameters specific to the model that are used in the code.
setup.parameters, valid.parameters