Fit continuous-time correlated random walk models for animal
movement data
The (C)orrelated (RA)ndom (W)alk (L)ibrary of R functions
was designed for fitting continuous-time correlated random walk
(CTCRW) models with time indexed covariates. The model is fit
using the Kalman-Filter on a state space version of the
continuous-time staochistic movement process.

The (C)orrelated (RA)ndom (W)alk (L)ibrary of R functions
was designed for fitting continuous-time correlated random walk
(CTCRW) models with time indexed covariates. The model is fit
using the Kalman-Filter on a state space version of the
continuous-time stochastic movement process.

The (C)orrelated (RA)ndom (W)alk (L)ibrary of
R functions was designed for fitting continuous-time
correlated random walk (CTCRW) models with time indexed
covariates. The model is fit using the Kalman-Filter on
a state space version of the continuous-time stochastic
movement process.
'AllMethod.R' 'crawl-internal.R' 'crawl-package.R' 'crwMLE.R'
'crwN2ll.R' 'crwPostIS.R' 'crwPredict.R' 'crwPredictPlot.R'
'crwSamplePar.R' 'crwSimulator.R' 'crwUseGrid.R' 'expandPred.R'
'fillCols.R' 'getQ.R' 'intToPOSIX.R' 'logSpeed.R'
'mergeTrackStop.R'

Fit continuous-time correlated random walk models to animal
movement data
'AllMethod.R' 'crawl-internal.R' 'crawl-package.R' 'crwMLE.R'
'crwN2ll.R' 'crwPostIS.R' 'crwPredict.R' 'crwPredictPlot.R'
'crwSamplePar.R' 'crwSimulator.R' 'crwUseGrid.R' 'expandPred.R'
'fillCols.R' 'getQ.R' 'intToPOSIX.R' 'logSpeed.R'
'mergeTrackStop.R' 'aic.crw.R'

'AllMethod.R' 'crawl-internal.R' 'crawl-package.R' 'crwMLE.R'
'crwN2ll.R' 'crwPostIS.R' 'crwPredict.R' 'crwPredictPlot.R'
'crwSamplePar.R' 'crwSimulator.R' 'crwUseGrid.R' 'expandPred.R'
'fillCols.R' 'getQ.R' 'intToPOSIX.R' 'logSpeed.R'
'mergeTrackStop.R' 'aic.crw.R' 'displayPar.R'

Fit Continuous-Time Correlated Random Walk Models to Animal
Movement Data

mvtnorm, Rcpp (>= 0.11.1), methods, shiny
ggplot2, knitr, rmarkdown, sp, rgdal, argosfilter, tidyr,
dplyr, lubridate, xts, doParallel
The Correlated Random Walk Library of
R functions was designed for fitting continuous-time
correlated random walk models with time indexed
covariates. The model is fit using the Kalman-filter on
a state space version of the continuous-time stochastic
movement process.