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.

Rdistance: Distance-Sampling Analyses for Density and Abundance Estimation

Distance-sampling analyses estimate density and abundance of organisms in ecology when detection probability declines with increasing distance from the observers. Distance-sampling is popular in most branches of ecology and especially when organisms are observed from aerial platforms (e.g., airplane or drone), surface vessels (e.g., boat or truck), or along walking transects. Rdistance analyzes data collected on both point and line transects, estimates overall (study area) and site-level (transect or point) density, and allows users to specify regression-like formula (similar to lm or glm) for covariates. A large suite of classical, parametric detection functions are included along with some uncommon parametric functions (e.g., Gamma, negative exponential) and non-parametric smoothed distance functions. Custom (user-defined) detection functions can be implemented (see vignette). Measurement unit integrity is enforced with internal unit conversion when necessary. The help files and vignettes have been vetted by multiple authors and tested in workshop settings.

Version: 3.0.0
Depends: R (≥ 3.5.0)
Imports: graphics, stats, utils, units, crayon
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), devtools
Published: 2023-06-13
DOI: 10.32614/CRAN.package.Rdistance
Author: Trent McDonald [cre, aut], Jason Carlisle [aut], Aidan McDonald [aut] (point transect methods), Ryan Nielson [ctb] (smoothed likelihood), Ben Augustine [ctb] (maximization method), James Griswald [ctb] (maximization method), Patrick McKann [ctb] (maximization method), Lacey Jeroue [ctb] (vignettes), Hoffman Abigail [ctb] (vignettes), Kleinsausser Michael [ctb] (vignettes), Joel Reynolds [ctb] (Gamma likelihood), Pham Quang [ctb] (Gamma likelihood), Earl Becker [ctb] (Gamma likelihood), Aaron Christ [ctb] (Gamma likelihood), Brook Russelland [ctb] (Gamma likelihood), Stefan Emmons [ctb] (Automated tests), Will McDonald [ctb] (Automated tests), Reid Olson [ctb] (Automated tests and bug fixes)
Maintainer: Trent McDonald <trent at mcdonalddatasciences.com>
BugReports: https://github.com/tmcd82070/Rdistance/issues
License: GPL-2 | GPL-3 [expanded from: GNU General Public License]
URL: https://github.com/tmcd82070/Rdistance/wiki
NeedsCompilation: no
Materials: NEWS
CRAN checks: Rdistance results

Documentation:

Reference manual: Rdistance.pdf
Vignettes: Rdistance: Extended dfuncEstim Examples
Rdistance: Beginner Line Transect Tutorial

Downloads:

Package source: Rdistance_3.0.0.tar.gz
Windows binaries: r-devel: Rdistance_3.0.0.zip, r-release: Rdistance_3.0.0.zip, r-oldrel: Rdistance_3.0.0.zip
macOS binaries: r-release (arm64): Rdistance_3.0.0.tgz, r-oldrel (arm64): Rdistance_3.0.0.tgz, r-release (x86_64): Rdistance_3.0.0.tgz, r-oldrel (x86_64): Rdistance_3.0.0.tgz
Old sources: Rdistance archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Rdistance 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.