Package: Distance License: GPL (>= 2) Title: Distance Sampling Detection Function and Abundance Estimation LazyLoad: yes Authors@R: c( person("Laura", "Marshall", email = "lhm@st-andrews.ac.uk" , role = "cre"), person("David", "Miller", email = "dave@ninepointeightone.net", role = "aut"), person("T.J.", "Clark-Wolf", role = "aut"), person("Len", "Thomas", email = "len.thomas@st-andrews.ac.uk", role = "ctb"), person("Jeff", "Laake", role = "ctb"), person("Eric", "Rexstad", email = "eric.rexstad@st-andrews.ac.uk", role = "rev")) Description: 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 for example analyses. Version: 2.0.1.9000 URL: https://github.com/DistanceDevelopment/Distance/ BugReports: https://github.com/DistanceDevelopment/Distance/issues Language: en-GB 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 Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 RdMacros: Rdpack Config/pak/sysreqs: cmake Repository: https://distancedevelopment.r-universe.dev Date/Publication: 2025-10-17 11:36:55 UTC RemoteUrl: https://github.com/distanceDevelopment/Distance RemoteRef: HEAD RemoteSha: f161b2346995481e4386d476387ff8c8e1367fbe NeedsCompilation: no Packaged: 2026-06-14 07:57:11 UTC; root Author: Laura Marshall [cre], David Miller [aut], T.J. Clark-Wolf [aut], Len Thomas [ctb], Jeff Laake [ctb], Eric Rexstad [rev] Maintainer: Laura Marshall