Animal movement models including moving-resting process
with embedded Brownian motion according to
Yan et al. (2014)
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
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.
rBmme -> rBMME,
fitBmme -> fitBMME,
rMovRes -> rMR and
fitMovRes -> fitMR.
Provided option to show simulated states in
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.