Distancesampling is a popular method for estimating density and abundance of organisms in ecology. Rdistance contains routines that assist with analysis of distancesampling data collected on point or line transects. Distance models are specified using regressionlike formula (similar to lm, glm, etc.). Abundance routines perform automated bootstrapping and automated detectionfunction selection. Overall (study area) and sitelevel (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 nonparametric smoothed distance functions. Custom (userdefined) detection functions are easily implemented (see vignette). The help files and vignettes have been vetted by multiple authors and tested in workshop settings.
Package details 


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) 
Maintainer  Trent McDonald <tmcdonald@westinc.com> 
License  GNU General Public License 
Version  2.1.3 
URL  https://github.com/tmcd82070/Rdistance/wiki 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.