# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "Distance" in publications use:' type: software license: GPL-2.0-or-later title: 'Distance: Distance Sampling Detection Function and Abundance Estimation' version: 2.0.0 doi: 10.18637/jss.v089.i01 identifiers: - type: doi value: 10.32614/CRAN.package.Distance abstract: 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. authors: - family-names: Marshall given-names: Laura email: lhm@st-andrews.ac.uk - family-names: Miller given-names: David email: dave@ninepointeightone.net - family-names: Clark-Wolf given-names: T.J. preferred-citation: type: article title: Distance Sampling in R authors: - family-names: Miller given-names: David L. email: dave@ninepointeightone.net - family-names: Rexstad given-names: Eric email: Eric.Rexstad@st-andrews.ac.uk - family-names: Thomas given-names: Len email: len.thomas@st-andrews.ac.uk - family-names: Marshall given-names: Laura email: lhm@st-andrews.ac.uk - family-names: Laake given-names: Jeffrey L. email: Jeff.Laake@noaa.gov journal: Journal of Statistical Software year: '2019' volume: '89' issue: '1' doi: 10.18637/jss.v089.i01 start: '1' end: '28' repository: https://CRAN.R-project.org/package=Distance repository-code: https://github.com/DistanceDevelopment/Distance url: https://github.com/DistanceDevelopment/Distance/ date-released: '2024-10-24' contact: - family-names: Marshall given-names: Laura email: lhm@st-andrews.ac.uk