Package: Rdistance
Type: Package
Title: Distance-Sampling Analyses for Density and Abundance Estimation
Version: 2.1.3
Date: 2019-01-02
Maintainer: Trent McDonald <tmcdonald@west-inc.com>
Authors@R: c(person("Trent", "McDonald", role=c("cre","aut"), email="tmcdonald@west-inc.com"), 
  person("Jason", "Carlisle", role="aut", email="jcarlisle@west-inc.com"), 
  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") )
Description: Distance-sampling is a popular method for estimating density and 
  abundance of organisms in ecology. Rdistance contains routines that  
  assist with analysis of
  distance-sampling data collected on point or line transects. 
  Distance models are specified using regression-like formula (similar 
  to lm, glm, etc.). Abundance routines
  perform automated bootstrapping and automated detection-function 
  selection. Overall (study area) and site-level (transect or point) 
  abundance estimates are available. 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
  are easily implemented (see vignette). 
  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
VignetteBuilder: knitr
Imports: graphics, stats, utils
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-02 23:10:02 UTC; tmcdonald
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)
Repository: CRAN
Date/Publication: 2019-01-03 00:10:03 UTC
Built: R 4.0.2; ; 2020-07-15 18:45:09 UTC; unix
