Added moving-resting-handling model with both full likelihood and composite likelihood.
Provided option to use only part of dataset to fit BMME model, moving-resting model and moving-resting-handling model (in function fitBMME, fitMR, and fitMRH).
Provided tools for seasonal behavior analysis.
Parallel code is implemented for moving-resting-handling model to speed code up.
Added code for predicting state at given time point under MR model and MRH model (beta version).
Added vignette for quick start.
Redocumented whole package.
Renamed rBmme -> rBMME, fitBmme -> fitBMME, rMovRes -> rMR and fitMovRes -> fitMR.
Provided option to show simulated states in rMR and rMRH.
Added full likelihood based hidden Markov model
Full likelihood and composite likelihood are now done with Rcpp
Added Depends: R (>= 3.0.0).
Corrected double to void of C function pmr.