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: | 1.0.1 |
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 |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | testthat, setRNG |
Published: | 2017-07-19 |
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 NEWS |
CRAN checks: | momentuHMM results |
Reference manual: | momentuHMM.pdf |
Vignettes: |
momentuHMM vignette |
Package source: | momentuHMM_1.0.1.tar.gz |
Windows binaries: | r-devel: momentuHMM_1.0.1.zip, r-release: momentuHMM_1.0.1.zip, r-oldrel: momentuHMM_1.0.1.zip |
OS X El Capitan binaries: | r-release: momentuHMM_1.0.1.tgz |
OS X Mavericks binaries: | r-oldrel: momentuHMM_1.0.1.tgz |
Old sources: | momentuHMM archive |
Please use the canonical form https://CRAN.R-project.org/package=momentuHMM to link to this page.