The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ctmm: Continuous-Time Movement Modeling

Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic-process 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 and detailed 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>, Fleming et al (2022) <doi:10.1111/2041-210X.13815>, Silva et al (2022) <doi:10.1111/2041-210X.13786>, Alston & Fleming et al (2023) <doi:10.1111/2041-210X.14025>.

Version: 1.2.0
Depends: R (≥ 3.5.0)
Imports: Bessel, data.table, digest, expm, fasttime, Gmedian, graphics, grDevices, gsl, manipulate, MASS, methods, numDeriv, parsedate, pbivnorm, pracma, raster, shape, sf, sp, statmod, stats, terra, utils
Suggests: animation, bit64, dplyr, fftw, knitr, move, parallel, quadprog, rmarkdown, suncalc
Published: 2023-09-23
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], Chad J. Wilhite [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
Pairwise interactions
Periodic movement models
Variograms and Model Selection

Downloads:

Package source: ctmm_1.2.0.tar.gz
Windows binaries: r-devel: ctmm_1.2.0.zip, r-release: ctmm_1.2.0.zip, r-oldrel: ctmm_1.2.0.zip
macOS binaries: r-release (arm64): ctmm_1.2.0.tgz, r-oldrel (arm64): ctmm_1.1.0.tgz, r-release (x86_64): ctmm_1.2.0.tgz, r-oldrel (x86_64): ctmm_1.1.0.tgz
Old sources: ctmm archive

Reverse dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ctmm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.