Hidden Markov models (HMMs) are broadly applicable hierarchical that derive their utility from separating state processes observation yielding the data. Multistate such as mark–recapture and dynamic multistate occupancy HMMs frequently used in ecology. In early formulations, states, pathogen infection status, were assumed to be perfectly observed without ambiguity. However, uncertainty is a per...