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: 2.2.1
Depends: R (≥ 2.10)
Imports: mvtnorm, Rcpp (≥ 0.11.1), methods, shiny, dplyr, raster, gdistance, rmapshaper, sp, sf, magrittr, lubridate, tibble, purrr
LinkingTo: Rcpp, RcppArmadillo
Suggests: ggplot2, rgdal, argosfilter, tidyr, xts, broom, doParallel
Published: 2018-09-14
Author: Devin S. Johnson [aut, cre], Josh London [aut], Kenady Wilson [ctb]
Maintainer: Devin S. Johnson <devin.johnson at>
License: CC0
NeedsCompilation: yes
Citation: crawl citation info
In views: SpatioTemporal, Tracking
CRAN checks: crawl results


Reference manual: crawl.pdf
Package source: crawl_2.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: crawl_2.2.1.tgz, r-oldrel: crawl_2.2.1.tgz
Old sources: crawl archive

Reverse dependencies:

Reverse imports: momentuHMM
Reverse suggests: ctmcmove


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