Package: ctmcmove 1.2.9
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:
ctmcmove_1.2.9.tar.gz
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ctmcmove_1.2.9.tgz(r-4.4-any)ctmcmove_1.2.9.tgz(r-4.3-any)
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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')) |
- seal - Data for one foraging trip by a male northern fur seal (NFS).
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:5cbe337b24. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | NOTE | Nov 01 2024 |
R-4.5-linux | NOTE | Nov 01 2024 |
R-4.4-win | NOTE | Nov 01 2024 |
R-4.4-mac | NOTE | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:ctmc.simctmc2glmget.rate.matrixget.UDmcmc.fmovepath2ctmcPctmcrast.grad
Dependencies:ashbitopscliclustercolorspacecpp11deSolvefansifarverfdafdsFNNgdistanceggplot2gluegtablehdrcdeigraphisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowrasterRColorBrewerRcppRCurlrlangscalesspterratibbleutf8vctrsviridisLitewithr