Analyses are performed for multiple species contained within the same dataset. Individual detection function analyses of each species must have already been completed using the ddf function in the mrds library. This function may then perform additional tasks such as assessing variance via a non-parametric bootstrap, including covariate variability via a parametric bootstrap, including model uncertainty and dealing with species codes which relate to unidentified sightings.
Firstly, it checks that there are not multiple definitions for the same species code. Secondly, it checks that the names of the ddf models correspond to the names in the species code definitions. Lastly, it checks that definitions are provided for all species codes and if not it adds the missing definitions assuming they correspond to identified categories
check.ddf.models
(Package: mads) :
Checks the list of model names supplied by the user
Performs various checks on the models and model names supplied by the user, including checking that the data in each model are the same across species codes to ensure valid comparison using the AIC/AICc/BIC selection criteria.
Provides asummary of the fitted detection probability model parameters, model selection criterion, and optionally abundance in the covered (sampled) region and its standard error for all species.
providing 
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