Package: Rdistance
Type: Package
Title: Distance-Sampling Analyses for Density and Abundance Estimation
Version: 3.0.0
Date: 2023-05-25
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 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. 
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: 7.2.3
Encoding: UTF-8
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2023-06-13 03:21:26 UTC; trent
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)
Repository: CRAN
Date/Publication: 2023-06-13 07:30:05 UTC
Built: R 4.2.0; ; 2023-06-13 08:27:41 UTC; unix
