ctmcmove: Modeling Animal Movement with Continuous-Time Discrete-Space Markov Chains
Version 1.0

Software to facilitates taking movement data in xyt format and pairing it with raster covariates within a continuous time Markov chain (CTMC) framework. As described in Hanks et al. (2015), this allows flexible modeling of movement in response to covariates (or covariate gradients) with model fitting possible within a Poisson GLM framework.

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AuthorEphraim Hanks
Date of publication2015-10-14 18:25:53
MaintainerEphraim Hanks <hanks@psu.edu>
LicenseGPL-2
Version1.0
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ctmcmove", repos="http://R-Forge.R-project.org")

Man pages

ctmc2glm: Convert a "ctmc" object into Poisson glm format.
ctmcmove-package: Modeling Animal Movement with Continuous-Time Discrete-Space...
get.crawl.path: Simulate a CRAWL path within a raster object.
path2ctmc: Function to turn a discrete-time continuous-space path into a...
rast.grad: Creates gradient rasters from a raster object.
seal: Data for one foraging trip by a male northern fur seal (NFS).

Functions

ctmc2glm Man page Source code
ctmcmove Man page
ctmcmove-package Man page
get.crawl.path Man page Source code
path2ctmc Man page Source code
rast.grad Man page Source code
seal Man page

Files

DESCRIPTION
NAMESPACE
R
R/ctmc2glm.R
R/get.crawl.path.R
R/path2ctmc.R
R/rast.grad.R
build
build/partial.rdb
data
data/seal.rda
man
man/ctmc2glm.Rd
man/ctmcmove-package.Rd
man/get.crawl.path.Rd
man/path2ctmc.Rd
man/rast.grad.Rd
man/seal.Rd
ctmcmove documentation built on May 21, 2017, 1:23 a.m.