Maintainer: Hasanthi A. Pathberiya <hasanthi@sjp.ac.lk>

Title: A Graphical User Interface for Plotting Common Univariate
Authors@R: c(person("Christopher", "Casement", email = "casementc@gmail.com",
person("Grant", "Innerst", role = "aut"),
person("Melissa", "Innerst", role = "aut")
Description: Package including an interactive Shiny application for plotting
Packaged: 2022-03-05 16:02:15 UTC; ccasement
Author: Christopher Casement [cre, aut],

Packaged: 2022-03-10 21:43:13 UTC; ccasement

Maintainer: David L Miller <dave@ninepointeightone.net>
Title: A simple way to fit detection functions to distance sampling
data and calculate abundance/density for biological
Description: A library that provides 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 if survey area information is provided.
Depends: R (>= 2.10.0), mrds, optimx, Rsolnp
Collate: 'ds.R' 'create.bins.R' 'model.description.R' 'plot.dsmodel.R'

Maintainer: David Lawrence Miller <dave@ninepointeightone.net>
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 if survey area information is provided.

Depends: R (>= 2.15.0), mrds, optimx, Rsolnp

Title: Distance Sampling Detection Function and Abundance Estimation
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.

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.