| crawl-package {crawl} | R Documentation |
Fit Continuous-Time Correlated Random Walk Models to Animal Movement Data
Description
The [C]orrelated [RA]ndom [W]alk [L]ibrary (I know it is not an R library, but, "crawp" did not sound as good) 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.
| Package: | crawl |
| Type: | Package |
| Version: | 2.3.0 |
| Date: | October 6, 2022 |
| License: | CC0 |
| LazyLoad: | yes |
Note
This software package is developed and maintained by scientists at the NOAA Fisheries Alaska Fisheries Science Center and should be considered a fundamental research communication. The recommendations and conclusions presented here are those of the authors and this software should not be construed as official communication by NMFS, NOAA, or the U.S. Dept. of Commerce. In addition, reference to trade names does not imply endorsement by the National Marine Fisheries Service, NOAA. While the best efforts have been made to insure the highest quality, tools such as this are under constant development and are subject to change.
Author(s)
Josh London and Devin S. Johnson
Maintainer: Devin S. Johnson <devin.johnson@noaa.gov>
References
Johnson, D., J. London, M. -A. Lea, and J. Durban (2008) Continuous-time correlated random walk model for animal telemetry data. Ecology 89(5) 1208-1215.