The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Provides tools for animal movement modelling using hidden Markov models. These include processing of tracking data, fitting hidden Markov models to movement data, visualization of data and fitted model, decoding of the state process, etc. <doi:10.1111/2041-210X.12578>.
| Version: | 1.9 |
| Depends: | CircStats |
| Imports: | Rcpp, boot, MASS, sp, geosphere, ggplot2, ggmap, numDeriv |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, knitr |
| Published: | 2023-05-08 |
| Author: | Theo Michelot (aut, cre), Roland Langrock (aut, cre), Toby Patterson (aut, cre), Brett McClintock (ctb), Eric Rexstad (ctb) |
| Maintainer: | Theo Michelot <theo.michelot at dal.ca> |
| License: | GPL-3 |
| URL: | https://github.com/TheoMichelot/moveHMM, https://cran.r-project.org/package=moveHMM |
| NeedsCompilation: | yes |
| Citation: | moveHMM citation info |
| Materials: | README |
| In views: | SpatioTemporal, Tracking |
| CRAN checks: | moveHMM results |
| Reference manual: | moveHMM.pdf |
| Vignettes: |
Wild haggis example analysis Custom plots with moveHMM Guide to using moveHMM Choosing starting values in moveHMM |
| Package source: | moveHMM_1.9.tar.gz |
| Windows binaries: | r-devel: moveHMM_1.9.zip, r-release: moveHMM_1.9.zip, r-oldrel: moveHMM_1.9.zip |
| macOS binaries: | r-release (arm64): moveHMM_1.9.tgz, r-oldrel (arm64): moveHMM_1.9.tgz, r-release (x86_64): moveHMM_1.9.tgz, r-oldrel (x86_64): moveHMM_1.9.tgz |
| Old sources: | moveHMM archive |
| Reverse suggests: | amt, hmmTMB, m2b, momentuHMM, segclust2d, SiMRiv, trackdf |
Please use the canonical form https://CRAN.R-project.org/package=moveHMM to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.