crawl2.3.0 package

Fit Continuous-Time Correlated Random Walk Models to Animal Movement Data

aic.crw

Calculates AIC for all objects of class crwFit listed as arguments

argosDiag2Cov

Transform Argos diagnostic data to covariance matrix form

as.flat

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

crawl-package

Fit Continuous-Time Correlated Random Walk Models to Animal Movement D...

crw_as_sf

Coerce to sf/sfc object

crw_as_tibble

Coerce crawl objects (crwIS and crwPredict) to tibbles

crwMLE

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

crwN2ll

-2 * log-likelihood for CTCRW models

crwPostIS

Simulate a value from the posterior distribution of a CTCRW model

crwPredict

Predict animal locations and velocities using a fitted CTCRW model and...

crwPredictPlot

Plot CRW predicted object

crwSamplePar

Create a weighted importance sample for posterior predictive track sim...

crwSimulator

Construct a posterior simulation object for the CTCRW state vectors

detect_timescale

Detect appropriate time scale for movement analysis

displayPar

Display the order of parameters along with fixed values and starting v...

expandPred

Expand a time indexed data set with additional prediction times

fillCols

Fill missing values in data set (or matrix) columns for which there is...

fix_path

fix_path function id depreciated.

flatten

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

intToPOSIX

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

mergeTrackStop

Merge a location data set with a dry time (or other stopping) covariat...

pipe

Pipe operator

sub-.crwIS

Generic subset/bracket method for crwIS classes

tidy_crwFit

tidy-like method for crwFit object

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.

  • Maintainer: Devin S. Johnson
  • License: CC0
  • Last published: 2022-10-09