Package: momentuHMM 2.0.0
momentuHMM: Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models
Extended tools for analyzing telemetry data using generalized hidden Markov models. Features of momentuHMM (pronounced ``momentum'') include data pre-processing and visualization, fitting HMMs to location and auxiliary biotelemetry or environmental data, biased and correlated random walk movement models, discrete- or continuous-time HMMs, continuous- or discrete-space movement models, approximate Langevin diffusion models, hierarchical HMMs, multiple imputation for incorporating location measurement error and missing data, user-specified design matrices and constraints for covariate modelling of parameters, random effects, decoding of the state process, visualization of fitted models, model checking and selection, and simulation. See McClintock and Michelot (2018) <doi:10.1111/2041-210X.12995>.
Authors:
momentuHMM_2.0.0.tar.gz
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momentuHMM_2.0.0.tgz(r-4.4-x86_64)momentuHMM_2.0.0.tgz(r-4.4-arm64)momentuHMM_2.0.0.tgz(r-4.3-x86_64)momentuHMM_2.0.0.tgz(r-4.3-arm64)
momentuHMM_2.0.0.tar.gz(r-4.5-noble)momentuHMM_2.0.0.tar.gz(r-4.4-noble)
momentuHMM.pdf |momentuHMM.html✨
momentuHMM/json (API)
NEWS
# Install 'momentuHMM' in R: |
install.packages('momentuHMM', repos = c('https://bmcclintock.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bmcclintock/momentuhmm/issues
Last updated 2 months agofrom:22b8141b69 (on develop). Checks:OK: 7 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-win-x86_64 | NOTE | Nov 11 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 11 2024 |
R-4.4-win-x86_64 | OK | Nov 11 2024 |
R-4.4-mac-x86_64 | OK | Nov 11 2024 |
R-4.4-mac-aarch64 | OK | Nov 11 2024 |
R-4.3-win-x86_64 | OK | Nov 11 2024 |
R-4.3-mac-x86_64 | OK | Nov 11 2024 |
R-4.3-mac-aarch64 | OK | Nov 11 2024 |
Exports:addSmoothGradientAICweightscheckPar0CIbetacircAnglesCIrealcollapseRastercrawlMergecrawlWrapctdsUDfitCTHMMfitHMMformatHierHMMgetGradientsgetPargetPar0getParDMgetTrProbsMIfitCTHMMMIfitHMMMIpoolmixtureProbsplotPRplotSatplotSpatialCovplotStatesplotStationaryprepCTDSprepDatapseudoResrandomEffectssetModelNamesetStateNamessimCTDSsimCTHMMsimDatasimHierCTDSsimHierCTHMMsimHierDatasimObsDatastateProbsstationarytimeInStatesviterbi
Dependencies:bootBrobdingnagCircStatsclassclassIntclicodetoolscpp11crawlDBIdigestdoParalleldoRNGdplyre1071expmfansiforeachgenericsglueiteratorsKernSmoothlatticelifecyclelubridatemagrittrMASSMatrixmvtnormnumDerivpillarpkgconfigproxypurrrR6rasterRcppRcppArmadilloRcppEigenrlangrngtoolss2sfspterratibbletidyselecttimechangeTMBunitsutf8vctrswithrwk