momentuHMM: 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...

Version: 1.0.0
Depends: R (≥ 2.10), splines, splines2
Imports: Rcpp, doParallel, foreach, numDeriv, CircStats, crawl, ggmap, ggplot2, mitools, moveHMM, raster, argosfilter, car, mvtnorm, boot, sp, MASS, Brobdingnag, gstat, conicfit, nleqslv, survival, qdapRegex
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, setRNG
Published: 2017-06-16
Author: Brett McClintock, Theo Michelot, Roland Langrock, Toby Patterson, Eric Rexstad
Maintainer: Brett McClintock <brett.mcclintock at noaa.gov>
License: GPL-3
NeedsCompilation: yes
Citation: momentuHMM citation info
Materials: README
CRAN checks: momentuHMM results

Downloads:

Reference manual: momentuHMM.pdf
Package source: momentuHMM_1.0.0.tar.gz
Windows binaries: r-devel: momentuHMM_1.0.0.zip, r-release: momentuHMM_1.0.0.zip, r-oldrel: momentuHMM_1.0.0.zip
OS X El Capitan binaries: r-release: momentuHMM_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: not available

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