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DESCRIPTION
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Package: Distance
License: GPL (>= 2)
Title: Distance Sampling Detection Function and Abundance Estimation
LazyLoad: yes
Authors@R: c(
person("Laura", "Marshall", email = "[email protected]" , role = "cre"),
person("David", "Miller", email = "[email protected]", role = "aut"),
person("T.J.", "Clark-Wolf", role = "aut"),
person("Len", "Thomas", email = "[email protected]", role = "ctb"),
person("Jeff", "Laake", role = "ctb"),
person("Eric", "Rexstad", email = "[email protected]", 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://examples.distancesampling.org/> for example analyses.
Version: 2.0.0.9001
URL: https://github.com/DistanceDevelopment/Distance/
BugReports: https://github.com/DistanceDevelopment/Distance/issues
Language: en-GB
Depends:
R (>= 3.5.0),
mrds (>= 3.0.0)
Imports:
dplyr,
methods,
rlang
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
VignetteBuilder: knitr