Package: Rdistance
Type: Package
Title: Density and Abundance from Distance-Sampling Surveys
Version: 4.4.5
Date: 2026-06-26
Language: en-US
Maintainer: Trent McDonald <trent@mcdonalddatasciences.com>
Authors@R: c(person("Trent", "McDonald", role=c("cre","aut"), email="trent@mcdonalddatasciences.com"), 
  person("Jason", "Carlisle", role="aut", email="jason.carlisle@wyo.gov"), 
  person("Aidan", "McDonald", role="aut", email="aidan@mcdcentral.org", comment="point transect methods"), 
  person("Ryan", "Nielson", role="ctb", comment="smoothed likelihood"), 
  person("Ben", "Augustine", role="ctb", comment="maximization method"), 
  person("James", "Griswald", role="ctb", comment="maximization method"), 
  person("Patrick", "McKann", role="ctb", comment="maximization method"), 
  person("Lacey", "Jeroue", role="ctb", comment="vignettes"), 
  person("Hoffman", "Abigail", role="ctb", comment="vignettes"), 
  person("Kleinsausser", "Michael", role="ctb", comment="vignettes"),
  person("Joel", "Reynolds", role="ctb", comment="Gamma likelihood"), 
  person("Pham", "Quang", role="ctb", comment="Gamma likelihood"), 
  person("Earl", "Becker", role="ctb", comment="Gamma likelihood"), 
  person("Aaron", "Christ", role="ctb", comment="Gamma likelihood"), 
  person("Brook", "Russelland", role="ctb", comment="Gamma likelihood"), 
  person("Stefan", "Emmons", role="ctb", comment="Automated tests"),
  person("Will", "McDonald", role="ctb", comment="Automated tests"),
  person("Reid", "Olson", role="ctb", comment="Automated tests and bug fixes"))
Description: Distance-sampling (<doi:10.1007/978-3-319-19219-2>) is a
        field survey and analytical method that estimates density and
        abundance of survey targets (e.g., animals) when detection
        probability declines with observation distance.
        Distance-sampling is popular in ecology, especially when survey
        targets are observed from aerial platforms (e.g., airplane or
        drone), surface vessels (e.g., boat or truck), or along walking
        transects. Analysis involves fitting smooth (parametric) curves
        to histograms of observation distances and using those
        functions to adjust density estimates for missed targets.
        Routines included here fit curves to observation distance
        histograms, estimate effective sampling area, density of
        targets in surveyed areas, and the abundance of targets in a
        surrounding study area. Confidence interval estimation uses
        built-in bootstrap resampling. Help files are extensive and
        have been vetted by multiple authors. Many tutorials are
        available on the package's website (URL below).
License: GNU General Public License
URL: https://mcdonalddatasciences.com/Rdistance.html
BugReports: https://github.com/tmcd82070/Rdistance/issues
LazyData: TRUE
Suggests: testthat (>= 3.0.0),
Depends: R (>= 4.1.0), units
Imports: graphics, stats, utils, crayon, withr, tidyr, dplyr, progress,
        tibble, tidyselect, dfoptim, expint, multidplyr
RoxygenNote: 7.3.3
Encoding: UTF-8
Config/testthat/edition: 3
Roxygen: list(markdown = TRUE)
Config/pak/sysreqs: make libicu-dev libudunits2-dev
Repository: https://tmcd82070.r-universe.dev
Date/Publication: 2026-06-22 16:10:00 UTC
RemoteUrl: https://github.com/tmcd82070/rdistance
RemoteRef: HEAD
RemoteSha: 7833a82b39edb87b3014f6171845f2b06d10bc1f
NeedsCompilation: no
Packaged: 2026-07-22 09:25:34 UTC; root
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)