DESCRIPTION

Package: Rdistance
Type: Package
Title: Distance-Sampling Analyses for Density and Abundance Estimation
Version: 3.1.4
Date: 2025-03-11  
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 analyses (<doi:10.1007/978-3-319-19219-2>) 
  estimate density and abundance of survey targets (e.g., animals) when 
  detection declines with distance. Distance-sampling is popular 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. Both point and line transects can be analyzed. Outputs 
  include overall (study area) density and abundance, effective sampling 
  distances, and model fit statistics. A large suite of classical, parametric 
  detection functions (e.g., half-normal, hazard rate) is included along 
  with uncommon parametric functions (e.g., Gamma, negative exponential).
  Non-parametric smoothed distance functions are included. Measurement unit 
  integrity is enforced via internal unit conversion. The help files and 
  vignettes have been vetted by multiple authors and tested in workshop 
  settings. 
License: GNU General Public License
URL: https://github.com/tmcd82070/Rdistance/wiki
BugReports: https://github.com/tmcd82070/Rdistance/issues
Suggests: 
    knitr,
    rmarkdown,
    testthat (>= 3.0.0),
    devtools
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: graphics, stats, utils, units, crayon
RoxygenNote: 7.3.2
Encoding: UTF-8
Config/testthat/edition: 3