Packaged: 2015-04-22 20:52:25 UTC; tmcdonald

Packaged: 2015-07-21 20:50:37 UTC; tmcdonald

Title: Analyses for Distance-Sampling and Abundance Estimation
Description: Distance-sampling is a popular method for abundance estimation in
ecology. This package contains functions and associated routines to analyze
distance-sampling data collected on point or line transects.
It accommodates line and point transect analyses
that accepts a regression-like formula object. Abundance routines
perform automated bootstrapping and automated detection-function
selection. Overall (study area) and site-level (transect or point)
available. A large suite of classical, parametric detection functions are
included.  Some uncommon (e.g., Gamma, negative exponential)
detection functions are also included and users can define
their own custom detection functions if needed. One form of
non-parametric smoothed distance function is included.
vetted by multiple authors and tested in multiple workshop
Packaged: 2018-08-14 14:44:53 UTC; tmcdonald

Authors@R: c(person("Trent", "McDonald", role=c("cre","aut"), email="tmcdonald@west-inc.com"),
person("Aidan", "McDonald", role="aut", email="aidan@mcdcentral.org", comment="point transect methods"),
person("Ryan", "Nielson", role="ctb", comment="smoothed likelihood"),
person("Ben", "Augustine", role="ctb", comment="maximization method"),
person("James", "Griswald", role="ctb", comment="maximization method"),
person("Patrick", "McKann", role="ctb", comment="maximization method"),
person("Joel", "Reynolds", role="ctb", comment="Gamma likelihood"),
person("Pham", "Quang", role="ctb", comment="Gamma likelihood"),
person("Earl", "Becker", role="ctb", comment="Gamma likelihood"),
person("Aaron", "Christ", role="ctb", comment="Gamma likelihood"),
person("Brook", "Russelland", role="ctb", comment="Gamma likelihood") )
in one routine that accepts a regression-like formula object. Abundance routines
abundance estimates are available. A large suite of classical, parametric detection functions are
Packaged: 2018-08-23 16:05:30 UTC; tmcdonald
Aidan McDonald [aut] (point transect methods),
Ryan Nielson [ctb] (smoothed likelihood),
Ben Augustine [ctb] (maximization method),
James Griswald [ctb] (maximization method),
Patrick McKann [ctb] (maximization method),
Brook Russelland [ctb] (Gamma likelihood)