Improved analysis of marine animal movement data by implementing a state-space hidden Markov model (HMM) to improve position estimates. Position estimates are derived by comparing electronic tag data (from tags deployed on marine animals, typically fish) to three-dimensional oceanographic data.
Version: | 1.0.0 |
Depends: | R (≥ 2.10) |
Imports: | dplyr, fields, foreach, imager, locfit, lubridate, maptools, raster, RColorBrewer, rgeos, RNetCDF, sp, parallel, doParallel, curl, methods |
Suggests: | knitr, rmarkdown, png, grid |
Published: | 2017-10-29 |
Author: | Camrin Braun [aut, cre], Benjamin Galuardi [aut], Benjamin Jones [ctb] (Contributed to earlier version of some of the download functions.), Martin Pedersen [ctb] (Developed an earlier version of some of the HMM framework and helper functions.) |
Maintainer: | Camrin Braun <camrin.braun at gmail.com> |
BugReports: | https://github.com/camrinbraun/HMMoce/issues |
License: | MIT + file LICENSE |
URL: | http://www.camrinbraun.com/ |
NeedsCompilation: | no |
Citation: | HMMoce citation info |
Materials: | README NEWS |
CRAN checks: | HMMoce results |
Reference manual: | HMMoce.pdf |
Vignettes: |
Using HMMoce Using HMMoce |
Package source: | HMMoce_1.0.0.tar.gz |
Windows binaries: | r-devel: HMMoce_1.0.0.zip, r-release: HMMoce_1.0.0.zip, r-oldrel: HMMoce_1.0.0.zip |
OS X binaries: | r-release: HMMoce_1.0.0.tgz, r-oldrel: HMMoce_1.0.0.tgz |
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