dssd/DESCRIPTION at master · DistanceDevelopment/dssd · GitHub

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Package: dssd
Imports:
    sf,
    ggplot2,
    methods
Suggests: knitr,
          rmarkdown,
          tibble,
          covr,
          testthat
VignetteBuilder: knitr
Type: Package
Title: Distance Sampling Survey Design
Version: 1.0.3
Authors@R: c(
  person("Laura", "Marshall", email = "lhm@st-andrews.ac.uk", role = c("aut", "cre")),
  person("Rexstad", "Eric", email = "eric.rexstad@st-andrews.ac.uk", role = "ctb"))
Description: Creates survey designs for distance sampling surveys. These
    designs can be assessed for various effort and coverage statistics.
    Once the user is satisfied with the design characteristics they can
    generate a set of transects to use in their distance sampling survey.
    Many of the designs implemented in this R package were first made
    available in our 'Distance' for Windows software and are detailed in
    Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008,
    ISBN-13: 978-0199225873). Find out more about estimating animal/plant
    abundance with distance sampling at <https://distancesampling.org/>.
BugReports: https://github.com/DistanceDevelopment/dssd/issues
License: GPL (>=2)
Encoding: UTF-8
RoxygenNote: 7.3.2
Collate:
    'Class.Constructors.R'
    'Coverage.Grid.R'
    'Transect.R'
    'Region.R'
    'generic.functions.R'
    'Survey.Design.R'
    'Line.Transect.Design.R'
    'Line.Transect.R'
    'Point.Transect.Design.R'
    'Point.Transect.R'
    'Segment.Transect.Design.R'
    'Segment.Transect.R'
    'calc.region.width.R'
    'calculate.effort.R'
    'calculate.trackline.pl.R'
    'calculate.trackline.segl.R'
    'calculate.trackline.zz.R'
    'calculate.trackline.zzcom.R'
    'check.design.R'
    'check.line.design.R'
    'check.point.design.R'
    'check.shape.R'
    'dssd-package.R'
    'generate.eqspace.zigzags.R'
    'generate.parallel.lines.R'
    'generate.random.points.R'
    'generate.segmented.grid.R'
    'generate.systematic.points.R'
    'get.intersection.points.R'
    'line.coords.as.dataframe.R'
    'mat.mult.R'
    'point.coords.as.dataframe.R'
    'run.coverage.R'
    'write.transects.R'