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>
License: GPL-3
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:, r-release:, r-oldrel:
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


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