Package: ctmcmove 1.2.10

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

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) <doi:10.1214/14-AOAS803> , this allows flexible modeling of movement in response to covariates (or covariate gradients) with model fitting possible within a Poisson GLM framework.

Authors:Ephraim Hanks [aut, cre]

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ctmcmove.pdf |ctmcmove.html✨
ctmcmove/json (API)

# Install 'ctmcmove' in R:
install.packages('ctmcmove', repos = c('https://ehanks.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • seal - Data for one foraging trip by a male northern fur seal (NFS).

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.78 score 1 stars 30 scripts 515 downloads 2 mentions 8 exports 54 dependencies

Last updated 1 months agofrom:bb98fa4733. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 12 2025
R-4.5-winOKFeb 12 2025
R-4.5-linuxOKFeb 12 2025
R-4.4-winOKFeb 12 2025
R-4.4-macOKFeb 12 2025
R-4.3-winOKJan 13 2025
R-4.3-macOKFeb 12 2025

Exports:ctmc.simctmc2glmget.rate.matrixget.UDmcmc.fmovepath2ctmcPctmcrast.grad

Dependencies:ashbitopscliclustercolorspacecpp11deSolvefansifarverfdafdsFNNgdistanceggplot2gluegtablehdrcdeigraphisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowrasterRColorBrewerRcppRCurlrlangscalesspterratibbleutf8vctrsviridisLitewithr