Added generic function estimate to retrieve estimation result for all fit functions.
Added generic function vcov to evaluate covariance matrix of estimate for all fit functions’ result.
Added a new vignette.
Added function rBB for simulation Brownian bridge.
Added function rMRB for simulation moving-resting bridge.
Updated package description by adding new references.
Updated citation information.
Added print_level to fitMRME and fitMRH that controls how much output is shown during the optimization process.
Added appropriate PKGNAME-package as per “Documenting packages” in R-exts.
rMM(simulation), fitMM(point estimator), estVarMM(standard error).Fixed bugs in seasonal toolbox.
Updated .cpp files to adapt the update of R package Rcpp.
Modified estVarMRME_Godambe and estVarMRME_pBootstrap.
Added ‘f109’ data.
smam. So, this is why I submitted such many versions.Added moving-resting model with measurement error is modeled as Gaussian noise as fitMRME.
Added estimator variance function for fitMRME as estVarMRME_Godambe and estVarMRME_pBootstrap.
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.