Package: moveHMM 1.12

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>.

Authors:Theo Michelot [aut, cre], Roland Langrock [aut, ctb], Toby Patterson [aut, ctb], Brett McClintock [ctb], Eric Rexstad [ctb]

moveHMM_1.12.tar.gz
moveHMM_1.12.zip(r-4.7-x86_64)moveHMM_1.12.zip(r-4.7-arm64)moveHMM_1.12.zip(r-4.6-x86_64)moveHMM_1.12.zip(r-4.6-arm64)moveHMM_1.12.zip(r-4.5-x86_64)
moveHMM_1.12.tgz(r-4.6-x86_64)moveHMM_1.12.tgz(r-4.6-arm64)moveHMM_1.12.tgz(r-4.5-x86_64)moveHMM_1.12.tgz(r-4.5-arm64)
moveHMM_1.12.tar.gz(r-4.7-arm64)moveHMM_1.12.tar.gz(r-4.7-x86_64)moveHMM_1.12.tar.gz(r-4.6-arm64)moveHMM_1.12.tar.gz(r-4.6-x86_64)
moveHMM_1.12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
moveHMM/json (API)

# Install 'moveHMM' in R:
install.packages('moveHMM', repos = c('https://theomichelot.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/theomichelot/movehmm/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

animal-movementhidden-markov-modelhmmmovement-ecologyopenblascpp

8.93 score 44 stars 148 scripts 1.1k downloads 22 mentions 17 exports 50 dependencies

Last updated from:442d833de3. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK163
linux-devel-x86_64OK184
source / vignettesOK284
linux-release-arm64OK148
linux-release-x86_64OK224
macos-release-arm64OK176
macos-release-x86_64OK411
macos-oldrel-arm64OK246
macos-oldrel-x86_64OK303
windows-devel-arm64OK407
windows-devel-x86_64OK144
windows-release-arm64OK370
windows-release-x86_64OK153
windows-oldrel-x86_64OK146
wasm-releaseOK136

Exports:CIfitHMMgetPlotDatanLogLikeplotPRplotSatplotStatesplotStationarypredictStationarypredictTPMprepDatapseudoRessimDatasplitAtGapsstateProbsstationaryviterbi

Dependencies:askpassbitopsbootclicpp11curldigestdplyrfarvergenericsgeosphereggmapggplot2gluegtablehttrisobandjpegjsonlitelabelinglatticelifecyclemagrittrMASSmimenumDerivopensslpillarpkgconfigplyrpngpurrrR6RColorBrewerRcppRcppArmadillorlangS7scalesspstringistringrsystibbletidyrtidyselectutf8vctrsviridisLitewithr

Custom plots with moveHMM
Rendered frommoveHMM-custom-plots.Rnwusingknitr::knitr

Last update: 2025-06-18
Started: 2019-05-02

Choosing starting values in moveHMM
Rendered frommoveHMM-starting-values.Rnwusingknitr::knitr

Last update: 2025-06-17
Started: 2019-05-18

Guide to using moveHMM
Background | Common challenges and other resources | Illustration of moveHMM workflow: elk movement analysis | Package features
Rendered frommoveHMM-guide.Rnwusingknitr::knitr

Last update: 2025-06-17
Started: 2015-11-09

moveHMM workflow: wild haggis analysis
Data preparation | Model fitting | Model visualisation | State process inference | Covariates | Model checking | Custom plots | Other features | predict functions | knownStates | fit = FALSE | References
Rendered frommoveHMM-example.Rmdusingknitr::rmarkdown

Last update: 2022-05-13
Started: 2022-05-10

Readme and manuals

Help Manual

Help pageTopics
AICAIC.moveHMM
Confidence intervals for angle parametersangleCI
Confidence intervalsCI
Exponential density functiondexp_rcpp
Gamma density functiondgamma_rcpp
Log-normal density functiondlnorm_rcpp
Density function of von Mises distributiondvm
Von Mises density functiondvm_rcpp
Weibull density functiondweibull_rcpp
Density function of wrapped Cauchy distributiondwrpcauchy
Wrapped Cauchy density functiondwrpcauchy_rcpp
Elk data set from Morales et al. (2004, Ecology)elk_data
Example datasetexample
Example data simulationexGen
Fit an HMM to the datafitHMM
Discrete colour palette for statesgetPalette
Data to produce plots of fitted modelgetPlotData
Wild haggis data set from Michelot et al. (2016, Methods Eco Evol)haggis_data
Is moveDatais.moveData
Is moveHMMis.moveHMM
Forward log-probabilitieslogAlpha
Backward log-probabilitieslogBeta
Constructor of 'moveData' objectsmoveData
Constructor of 'moveHMM' objectsmoveHMM
Scaling function: natural to working parameters.n2w
Negative log-likelihood functionnLogLike
Negative log-likelihoodnLogLike_rcpp
Parameters definitionparDef
Plot 'moveData'plot.moveData
Plot 'moveHMM'plot.moveHMM
Plot pseudo-residualsplotPR
Plot observations on satellite imageplotSat
Plot statesplotStates
Plot stationary state probabilitiesplotStationary
Predict stationary state probabilitiespredictStationary
Predict transition probabilities for new covariate valuespredictTPM
Preprocessing of the tracking dataprepData
Print 'moveHMM'print.moveHMM
Pseudo-residualspseudoRes
Sample from von Mises distributionrvm
Sample from wrapped Cauchy distributionrwrpcauchy
Simulation toolsimData
Split track at gapssplitAtGaps
State probabilitiesstateProbs
Stationary state probabilitiesstationary
Summary 'moveData'summary.moveData
Transition probability matrixtrMatrix_rcpp
Turning angleturnAngle
Viterbi algorithmviterbi
Scaling function: working to natural parametersw2n