Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic movement models to animal tracking data. The package is described in Calabrese & Fleming (2016) <doi:10.1111/2041-210X.12559> and its methods are based on those introduced in Fleming et al (2014) <doi:10.1086/675504>, Fleming et al (2014) <doi:10.1111/2041-210X.12176>, Fleming et al (2015) <doi:10.1890/14-2010.1>, Fleming et al (2016) <doi:10.1890/15-1607>, Péron et al (2016) <doi:10.1186/s40462-016-0084-7>, Fleming & Calabrese (2016) <doi:10.1111/2041-210X.12673>, Péron et al (2017) <doi:10.1002/ecm.1260>, and Fleming et al (2017) <doi:10.1016/j.ecoinf.2017.04.008>.
| Version: | 0.4.1 |
| Depends: | R (≥ 3.3.0) |
| Imports: | data.table, expm, fasttime, graphics, grDevices, manipulate, MASS, Matrix, methods, numDeriv, pbivnorm, raster, rgdal, scales, stats, utils |
| Suggests: | bit64, fftw, knitr, move, parallel, sp |
| Published: | 2017-08-30 |
| Author: | Christen H. Fleming [aut, cre], Justin M. Calabrese [aut], Xianghui Dong [ctb], Kevin Winner [ctb], Guillaume Péron [ctb], Bart Kranstauber [ctb], Eliezer Gurarie [ctb], Kamran Safi [ctb], Paul C. Cross [dtc], Thomas Mueller [dtc] |
| Maintainer: | Christen H. Fleming <flemingc at si.edu> |
| License: | GPL-3 |
| URL: | https://github.com/ctmm-initiative/ctmm, http://biology.umd.edu/movement.html |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | SpatioTemporal |
| CRAN checks: | ctmm results |
| Reference manual: | ctmm.pdf |
| Vignettes: |
Autocorrelated Kernel Density Estimation Periodic movement models Variograms and Model Selection |
| Package source: | ctmm_0.4.1.tar.gz |
| Windows binaries: | r-devel: ctmm_0.4.1.zip, r-release: ctmm_0.4.1.zip, r-oldrel: ctmm_0.4.1.zip |
| OS X binaries: | r-release: ctmm_0.4.1.tgz, r-oldrel: ctmm_0.4.1.tgz |
| Old sources: | ctmm archive |
| Reverse suggests: | amt |
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