Added generic functionestimate to retrieveestimation result for all fit functions.
Added generic functionvcov to evaluate covariancematrix of estimate for all fit functions’ result.
Added a new vignette.
Added functionrBB for simulation Brownianbridge.
Added functionrMRB for simulation moving-restingbridge.
Updated package description by adding new references.
Updated citation information.
Addedprint_level tofitMRME andfitMRH that controls how much output is shown during theoptimization process.
Added appropriate PKGNAME-package as per “Documenting packages”in R-exts.
rMM(simulation),fitMM(point estimator),estVarMM(standarderror).Fixed bugs in seasonal toolbox.
Updated .cpp files to adapt the update of R packageRcpp.
ModifiedestVarMRME_Godambe andestVarMRME_pBootstrap.
Added ‘f109’ data.
smam. So, this is why I submitted such many versions.Added moving-resting model with measurement error is modeled asGaussian noise asfitMRME.
Added estimator variance function forfitMRME asestVarMRME_Godambe andestVarMRME_pBootstrap.
Added moving-resting-handling model with both full likelihood andcomposite likelihood.
Provided option to use only part of dataset to fit BMME model,moving-resting model and moving-resting-handling model (in functionfitBMME,fitMR, andfitMRH).
Provided tools for seasonal behavior analysis.
Parallel code is implemented for moving-resting-handling model tospeed code up.
Added code for predicting state at given time point under MRmodel and MRH model (beta version).
Added vignette for quick start.
Redocumented whole package.
RenamedrBmme -> rBMME,fitBmme -> fitBMME,rMovRes -> rMR andfitMovRes -> fitMR.
Provided option to show simulated states inrMR andrMRH.
Added full likelihood based hidden Markov model
Full likelihood and composite likelihood are now done withRcpp
Added Depends: R (>= 3.0.0).
Corrected double to void of C function pmr.