Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models

Extended tools for analyzing telemetry data using (multivariate) hidden Markov models. These include processing of tracking data, fitting HMMs to location and auxiliary biotelemetry or environmental data, multiple imputation for incorporating location measurement error and missing data, visualization of data and fitted model, decoding of the state process...


Reference manual

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1.2.0 by Brett McClintock, a month ago

Browse source code at

Authors: Brett McClintock, Theo Michelot

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, doParallel, foreach, numDeriv, CircStats, crawl, ggmap, ggplot2, mitools, moveHMM, raster, argosfilter, car, mvtnorm, boot, sp, MASS, Brobdingnag, gstat, conicfit, nleqslv, survival, qdapRegex, geosphere, LaplacesDemon

Depends on splines, splines2

Suggests testthat, setRNG, knitr

Linking to Rcpp, RcppArmadillo

See at CRAN