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) <doi:10.18637/jss.v089.i01> for more information on
    methods and <https://distancesampling.org/resources/vignettes.html> for example analyses.
Version: 2.0.1
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
RoxygenNote: 7.3.2
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2025-07-11 00:06:34 UTC; lhm
Author: Laura Marshall [cre],
  David Miller [aut],
  T.J. Clark-Wolf [aut],
  Len Thomas [ctb],
  Jeff Laake [ctb],
  Eric Rexstad [rev]
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>
Repository: CRAN
Date/Publication: 2025-07-11 02:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 12:43:56 UTC; unix
