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.


Reference manual

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2.2.1 by Devin S. Johnson, 3 years ago

Browse source code at

Authors: Devin S. Johnson [aut, cre] , Josh London [aut] , Kenady Wilson [ctb]

Documentation:   PDF Manual  

Task views: Handling and Analyzing Spatio-Temporal Data, Processing and Analysis of Tracking Data

CC0 license

Imports mvtnorm, Rcpp, methods, shiny, dplyr, raster, gdistance, rmapshaper, sp, sf, magrittr, lubridate, tibble, purrr

Suggests ggplot2, rgdal, argosfilter, tidyr, xts, broom, doParallel

Linking to Rcpp, RcppArmadillo

Imported by anipaths, momentuHMM.

Suggested by ctmcmove.

See at CRAN