ctmm: Continuous-Time Movement Modeling

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 El Capitan binaries: r-release: ctmm_0.4.1.tgz
OS X Mavericks binaries: r-oldrel: ctmm_0.4.1.tgz
Old sources: ctmm archive


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