EDR  R Documentation 
Computes Effective Detection Radius (EDR) for estimated detection functions with point transects. The pointtransect equivalent to Effective Strip Width (ESW).
EDR(obj, newdata)
obj 
An estimated detection function object. An estimated detection
function object has class 'dfunc', and is usually produced by a call to

newdata 
A data frame containing new values of the covariates at which
EDR's are sought. If NULL or missing and

The pointtransect equivalent to Effective Strip Width (ESW).
If newdata
is not missing and not NULL and
covariates are present in obj
, returned value is
a vector with length equal to the number of rows in newdata
.
If newdata
is missing or NULL and covariates are present
in obj
, returned value is a vector with length equal to
the number of detections in obj$detections
. In either of the
above cases, elements in the returned vector are
the effective detection radii for the corresponding set of
covariates.
If obj
does not contain covariates, newdata
is ignored and
a scalar equal to the (constant) effective detection radius for all
detections is returned.
dfuncEstim
, ESW
,
effectiveDistance
# Load example thrasher data (point transect survey type)
data(thrasherDetectionData)
# Fit halfnormal detection function
dfunc < dfuncEstim(formula=dist~1
, detectionData=thrasherDetectionData
, likelihood="halfnorm"
, w.hi=units::set_units(175, "m")
, pointSurvey=TRUE)
# Compute effective detection radius (EDR)
EDR(dfunc)
# EDR only applies to point transect surveys
# ESW is the line transect equivalent
# The effectiveDistance function tests whether the dfunc was
# fit to line or point data, and returns either ESW or EDR accordingly
effectiveDistance(dfunc)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.