crawl: Fit Continuous-Time Correlated Random Walk Models to Animal
Movement Data
Fit continuous-time correlated random walk models with time indexed
    covariates to animal telemetry data. The model is fit using the Kalman-filter on
    a state space version of the continuous-time stochastic movement process.
| Version: | 2.3.0 | 
| Depends: | R (≥ 3.4.0) | 
| Imports: | mvtnorm, Rcpp (≥ 0.11.1), methods, dplyr, sf, sp, tibble, magrittr, lubridate, purrr, rlang | 
| LinkingTo: | Rcpp, RcppArmadillo | 
| Published: | 2022-10-09 | 
| DOI: | 10.32614/CRAN.package.crawl | 
| Author: | Devin S. Johnson [aut, cre],
  Josh London [aut],
  Brett T. McClintock [ctb],
  Kenady Wilson [ctb] | 
| Maintainer: | Devin S. Johnson  <devin.johnson at noaa.gov> | 
| License: | CC0 | 
| NeedsCompilation: | yes | 
| Citation: | crawl citation info | 
| In views: | SpatioTemporal, Tracking | 
| CRAN checks: | crawl results | 
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