Extended tools for analyzing telemetry data using generalized hidden Markov models. These include data pre-processing and visualization, fitting HMMs to location and auxiliary biotelemetry or environmental data, biased and correlated random walk movement models, multiple imputation for incorporating location measurement error and missing data, user-specified design matrices and constraints for covariate modelling of parameters, decoding of the state process, visualization of fitted models, model checking and selection, and simulation. See McClintock and Michelot (2017) <arXiv:1710.03786>.
Version: | 1.3.0 |
Depends: | R (≥ 2.10) |
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, splines, splines2 |
Published: | 2017-12-08 |
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 |
Reference manual: | momentuHMM.pdf |
Vignettes: |
Guide to using momentuHMM |
Package source: | momentuHMM_1.3.0.tar.gz |
Windows binaries: | r-devel: momentuHMM_1.3.0.zip, r-release: momentuHMM_1.3.0.zip, r-oldrel: momentuHMM_1.3.0.zip |
OS X El Capitan binaries: | r-release: momentuHMM_1.3.0.tgz |
OS X Mavericks binaries: | r-oldrel: momentuHMM_1.3.0.tgz |
Old sources: | momentuHMM archive |
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