A list of attributes of the fitted model: mle (the maximum likelihood estimates of
the parameters of the model), data (the fitHMM data), mod (the object
returned by the fitHMM numerical optimizer nlm or optim), conditions (conditions used to fit
the model: hierStates, hierDist, zeroInflation, estAngleMean, circularAngleMeanstationary, formula, userBounds, bounds, workBounds, DM, etc.),
stateNames, and rawCovs (optional – only if there are transition probability matrix covariates in the data).