Distance Sampling Detection Function and Abundance Estimation

A simple way of fitting detection functions to distance sampling data for both line and point transects. Adjustment term selection, left and right truncation as well as monotonicity constraints and binning are supported. Abundance and density estimates can also be calculated (via a Horvitz-Thompson-like estimator) if survey area information is provided. See Miller et al. (2019) for more information on methods and < https://distancesampling.org/resources/vignettes.html> for example analyses.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("Distance")

2.0.1 by Laura Marshall, a year ago


https://github.com/DistanceDevelopment/Distance/


Report a bug at https://github.com/DistanceDevelopment/Distance/issues


Browse source code at https://github.com/cran/Distance


Authors: Laura Marshall [cre] , David Miller [aut] , T.J. Clark-Wolf [aut] , Len Thomas [ctb] , Jeff Laake [ctb] , Eric Rexstad [rev]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports dplyr, methods, rlang, Rdpack

Depends on mrds

Suggests rmarkdown, kableExtra, bookdown, knitr, covr, progress, parallel, doParallel, doRNG, foreach, activity, testthat, optimx, readxl


Imported by FORTLS, ct, dsims.

Suggested by dsm, mrds.


See at CRAN