data.table, expm, fasttime, Gmedian, graphics, grDevices, gsl,
manipulate, MASS, methods, numDeriv, pbivnorm, pracma, raster,
rgdal, scales, shape, stats, utils
Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic movement models to animal tracking data.
The package is described in Calabrese et al (2016) <doi:10.1111/2041-210X.12559> and its methods are based on those introduced in
Fleming & Calabrese 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 & Fleming 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>,
Fleming et al (2017) <doi:10.1016/j.ecoinf.2017.04.008>,
Fleming et al (2018) <doi:10.1002/eap.1704>,
and
Winner & Noonan et al (2018) <doi:10.1111/2041-210X.13027>.

data.table, expm, fasttime, Gmedian, graphics, grDevices, gsl,
manipulate, MASS, methods, numDeriv, pbivnorm, pracma, raster,
rgdal, shape, stats, utils
bit64, fftw, knitr, move, parallel, sp, suncalc

data.table, expm, fasttime, Gmedian, graphics, grDevices, gsl,
manipulate, MASS, methods, numDeriv, pbivnorm, pracma, raster,
rgdal, shape, sp, stats, utils
Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic movement models to animal tracking data.
The package is described in Calabrese et al (2016) <doi:10.1111/2041-210X.12559>, with models and methods based on those introduced in
Fleming & Calabrese et al (2014) <doi:10.1086/675504>,
Fleming et al (2014) <doi:10.1111/2041-210X.12176>,
Fleming et al (2015) <doi:10.1103/PhysRevE.91.032107>,
Fleming et al (2015) <doi:10.1890/14-2010.1>,
Fleming et al (2016) <doi:10.1890/15-1607>,
Péron & Fleming et al (2016) <doi:10.1186/s40462-016-0084-7>,
Fleming & Calabrese (2017) <doi:10.1111/2041-210X.12673>,
Péron et al (2017) <doi:10.1002/ecm.1260>,
Fleming et al (2017) <doi:10.1016/j.ecoinf.2017.04.008>,
Fleming et al (2018) <doi:10.1002/eap.1704>,
Winner & Noonan et al (2018) <doi:10.1111/2041-210X.13027>,
and
Fleming et al (2019) <doi:10.1111/2041-210X.13270>.