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]

ctmcmove_1.2.10.tar.gz
ctmcmove_1.2.10.zip(r-4.7)ctmcmove_1.2.10.zip(r-4.6)ctmcmove_1.2.10.zip(r-4.5)
ctmcmove_1.2.10.tgz(r-4.6-any)ctmcmove_1.2.10.tgz(r-4.5-any)
ctmcmove_1.2.10.tar.gz(r-4.7-any)ctmcmove_1.2.10.tar.gz(r-4.6-any)
ctmcmove_1.2.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

Conda:

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

1.79 score 1 stars 31 scripts 295 downloads 2 mentions 8 exports 50 dependencies

Last updated from:bb98fa4733. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK248
source / vignettesOK196
linux-release-x86_64OK247
macos-release-arm64OK169
macos-oldrel-arm64OK186
windows-develOK206
windows-releaseOK249
windows-oldrelOK232
wasm-releaseOK124

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

Dependencies:ashbitopscliclustercolorspacecpp11deSolvefarverfdafdsFNNgdistanceggplot2gluegtablehdrcdeigraphisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpkgconfigpracmaR6rainbowrasterRColorBrewerRcppRCurlrlangS7scalesspterravctrsviridisLitewithr