Distance Sampling Detection Function and Abundance Estimation R package Distance version 2.0.1 CRAN Task View: Environmetrics (https://CRAN.R-project.org/view=Environmetrics) 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) <doi:10.18637/jss.v089.i01> for more information on methods and <https://distancesampling.org/resources/vignettes.html> for example analyses. Software Depends: R (>= 4.1.0), mrds (>= 3.0.1) Imports: dplyr, methods, rlang, Rdpack Suggests: rmarkdown, kableExtra, bookdown, knitr, covr, progress, parallel, doParallel, doRNG, foreach, activity, testthat, optimx, readxl Laura Marshall <lhm@st-andrews.ac.uk> Comprehensive R Archive Network (CRAN) Laura Marshall [cre], David Miller [aut], T.J. Clark-Wolf [aut], Len Thomas [ctb], Jeff Laake [ctb], Eric Rexstad [rev] GPL (>= 2) 2025-07-11 application/tgz https://CRAN.R-project.org/package=Distance doi:10.32614/CRAN.package.Distance en-GB