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.