getDfuncModelFrame

Returns the model frame from a formula and 
data set. This routine is intended to only be called from within other Rdistance
functions.

Distance-sampling analyses estimate density and
abundance of organisms in ecology when detection probability declines with
increasing distance from the observers. Distance-sampling is popular
in most branches of ecology and especially when
organisms are observed from aerial platforms (e.g., airplane or drone),
surface vessels (e.g., boat or truck), or along walking transects.
Rdistance analyzes data collected on both point and line transects,
estimates overall (study area) and site-level (transect or point)
density, and allows users to specify regression-like formula (similar
to lm or glm) for covariates. A large suite of classical,
parametric detection functions are
included along with some uncommon parametric
functions (e.g., Gamma, negative exponential) and non-parametric
smoothed distance functions. Custom (user-defined) detection functions
can be implemented (see vignette).  Measurement unit integrity is
enforced with internal unit conversion when necessary.
The help files and vignettes have been
vetted by multiple authors and tested in workshop
settings.

Trent McDonald

Rdistance

Distance-Sampling Analyses for Density and Abundance Estimation

Jason Carlisle

Aidan McDonald

Ryan Nielson

Ben Augustine

James Griswald

Patrick McKann

Lacey Jeroue

Hoffman Abigail

Kleinsausser Michael

Joel Reynolds

Pham Quang

Earl Becker

Aaron Christ

Brook Russelland

Stefan Emmons

Will McDonald

Reid Olson

getDfuncModelFrame function

<dl><dt>formula</dt>
<dd>A dfunc formula object. See <code>dfuncEstim</code>.</dd>
<dt>data</dt>
<dd>The data frame from which variables in formula (potentially) come.</dd></dl>

Arguments

Return model frame for dfunc — getDfuncModelFrame

<dl>

<dt>formula</dt>
<dd>A dfunc formula object. See <code>dfuncEstim</code>.</dd>


<dt>data</dt>
<dd>The data frame from which variables in formula (potentially) come.</dd>

</dl>

Return model frame for dfunc

getDfuncModelFrame: Return model frame for dfunc

Description

Usage

Value

Arguments

Details