Analyses for Distance-Sampling and Abundance Estimation
c(
person("Trent", "McDonald", email="tmcdonald@west-inc.com", role=c("cre","aut")),
person("Ryan", "Nielson", email="rnielson@west-inc.com", role=c("aut")),
person("Jason", "Carlisle", email="jcarlisle@west-inc.com", role=c("aut")),
person("Aidan", "McDonald", email="aidan@mcdcentral.org", role=c("aut")),
person("Ben", "Augustine", email="", role=c("ctb")),
person("James", "Griswald", email="", role=c("ctb")),
person("Joel", "Reynolds", email="", role=c("ctb")),
person("Pham", "Quang", email="", role=c("ctb")),
person("Earl", "Becker", email="", role=c("ctb")),
person("Aaron", "Christ", email="", role=c("ctb")),
person("Brook", "Russelland", email="", role=c("ctb")),
person("Patrick", "McKann", email="", role=c("ctb")),
person("Lacey", "Jeroue", email="", role=c("ctb")),
person("Hoffman", "Abigail", email="", role=c("ctb")),
person("Kleinsausser", "Michael", email="", role=c("ctb"))
)
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
in one routine
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)
abundance estimates are
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.
The help files and vignettes have been
vetted by multiple authors and tested in multiple workshop
settings.

c(person("Trent", "McDonald", role=c("cre","aut"), email="tmcdonald@west-inc.com"),
person("Jason", "Carlisle", role="aut", email="jcarlisle@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("Lacey", "Jeroue", role="ctb", comment="vignettes"),
person("Hoffman", "Abigail", role="ctb", comment="vignettes"),
person("Kleinsausser", "Michael", role="ctb", comment="vignettes"),
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") )
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
in one routine 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)
abundance estimates are 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.
The help files and vignettes have been
vetted by multiple authors and tested in multiple workshop
settings.
Trent McDonald [cre, aut],
Jason Carlisle [aut],
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),
Lacey Jeroue [ctb] (vignettes),
Hoffman Abigail [ctb] (vignettes),
Kleinsausser Michael [ctb] (vignettes),
Joel Reynolds [ctb] (Gamma likelihood),
Pham Quang [ctb] (Gamma likelihood),
Earl Becker [ctb] (Gamma likelihood),
Aaron Christ [ctb] (Gamma likelihood),
Brook Russelland [ctb] (Gamma likelihood)