moveHMM: Animal Movement Modelling using Hidden Markov Models

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
DOI: 10.32614/CRAN.package.moveHMM
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

Documentation:

Reference manual: moveHMM.pdf
Vignettes: Wild haggis example analysis
Custom plots with moveHMM
Guide to using moveHMM
Choosing starting values in moveHMM

Downloads:

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 dependencies:

Reverse suggests: amt, hmmTMB, m2b, momentuHMM, segclust2d, SiMRiv, trackdf

Linking:

Please use the canonical form https://CRAN.R-project.org/package=moveHMM to link to this page.