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: 1.2.0
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, geosphere, LaplacesDemon
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, setRNG, knitr
Published: 2017-10-20
Author: Brett McClintock, Theo Michelot
Maintainer: Brett McClintock <brett.mcclintock at noaa.gov>
License: GPL-3
NeedsCompilation: yes
Citation: momentuHMM citation info
Materials: README NEWS
CRAN checks: momentuHMM results

Downloads:

Reference manual: momentuHMM.pdf
Vignettes: Guide to using momentuHMM
Package source: momentuHMM_1.2.0.tar.gz
Windows binaries: r-devel: momentuHMM_1.2.0.zip, r-release: momentuHMM_1.2.0.zip, r-oldrel: momentuHMM_1.2.0.zip
OS X El Capitan binaries: r-release: momentuHMM_1.2.0.tgz
OS X Mavericks binaries: r-oldrel: momentuHMM_1.2.0.tgz
Old sources: momentuHMM archive

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