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crawl (version 1.0-1)

Fit continuous-time correlated random walk models for animal movement data

Description

The (C)orrelated (RA)ndom (W)alk (L)ibrary 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.

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Version

Install

install.packages('crawl')

Monthly Downloads

591

Version

1.0-1

License

GPL (>=2)

Maintainer

Devin Johnson

Last Published

October 9th, 2022

Functions in crawl (1.0-1)

harborSeal

Harbor seal telemetry data
crawl-package

Fit Continuous-Time Correlated Random Walk models to animal movement data
mergeTrackStop

Merge a location data set with a dry time (or other stopping) covariate
northernFurSeal

Northern fur seal pup telemetry data set
crwMLE

Fit Continuous-Time Correlated Random Walk Models to Animal Telemetry Data
as.flat

'Flattening' a list-form crwPredict object into a data.frame
expandPred

Expand a time indexed data set with additional prediction times
crwPredictPlot

Plot CRW predicted object
crwN2ll

-2 * log-likelihood for CTCRW models
logSpeed

calculate estimate of log speed from a crwPredict object
crwPredict

Predict animal locations and velocities using a fitted CTCRW model
crawl-internal

Internal crawl objects
AIC.crwFit

Calculates AIC for all objects of class crwFit listed as arguments
fillCols

Fill missing values in data set (or matrix) columns for which there is a single unique value
intToPosix

Reverse as.numeric command that is performed on a vector of type POSIXct