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 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>, Fleming et al (2019) <doi:10.1111/2041-210X.13270>, Noonan & Fleming et al (2019) <doi:10.1186/s40462-019-0177-1>, Fleming et al (2020) <doi:10.1101/2020.06.12.130195>, Noonan et al (2021) <doi:10.1111/2041-210X.13597>, and Fleming et al (2022) <doi:10.1111/2041-210X.13815>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: Bessel, data.table, digest, expm, fasttime, Gmedian, graphics, grDevices, gsl, manipulate, MASS, methods, numDeriv, pbivnorm, pracma, raster, rgdal, shape, sp, statmod, stats, utils
Suggests: animation, bit64, dplyr, fftw, knitr, move, parallel, parsedate, rmarkdown, sf, suncalc
Published: 2022-07-12
Author: Christen H. Fleming [aut, cre], Justin M. Calabrese [aut], Xianghui Dong [ctb], Kevin Winner [ctb], Björn Reineking [ctb], Guillaume Péron [ctb], Michael J. Noonan [ctb], Bart Kranstauber [ctb], Eliezer Gurarie [ctb], Kamran Safi [ctb], Paul C. Cross [dtc], Thomas Mueller [dtc], Rogério C. de Paula [dtc], Thomas Akre [dtc], Jonathan Drescher-Lehman [dtc], Autumn-Lynn Harrison [dtc], Ronaldo G. Morato [dtc]
Maintainer: Christen H. Fleming <flemingc at si.edu>
License: GPL-3
URL: https://github.com/ctmm-initiative/ctmm, https://groups.google.com/g/ctmm-user
NeedsCompilation: no
Materials: README NEWS
In views: SpatioTemporal, Tracking
CRAN checks: ctmm results

Documentation:

Reference manual: ctmm.pdf
Vignettes: Autocorrelated Kernel Density Estimation
Telemetry error
Periodic movement models
Variograms and Model Selection

Downloads:

Package source: ctmm_1.0.0.tar.gz
Windows binaries: r-devel: ctmm_1.0.0.zip, r-release: ctmm_1.0.0.zip, r-oldrel: ctmm_1.0.0.zip
macOS binaries: r-release (arm64): ctmm_1.0.0.tgz, r-oldrel (arm64): ctmm_1.0.0.tgz, r-release (x86_64): ctmm_0.6.1.tgz, r-oldrel (x86_64): ctmm_0.6.0.tgz
Old sources: ctmm archive

Reverse dependencies:

Reverse depends: ctpm
Reverse imports: amt
Reverse suggests: move, trackdf

Linking:

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