Summary of distance detection function model object
Provides a brief summary of data and fitted detection probability model parameters, model selection criterion, and optionally abundance in the covered (sampled) region and its standard error.
## S3 method for class 'trial.fi' summary(object, se = TRUE, N = TRUE, fittedmodel = NULL, ...)
object |
a |
se |
if TRUE, computes standard errors |
N |
if TRUE, computes abundance in covered (sampled) region |
fittedmodel |
full fitted model when called from |
... |
unspecified and unused arguments for S3 consistency |
The argument N is used to suppress computation of
abundance and average detection probability in calls to summarize the
ds and either io.fi or trial.fi for summaries of
io and trial objects respectively which are composed of a
ds model object and a mark-recapture model object. The corresponding
print function is called to print the summary results.
list of extracted and summarized objects
This function is called by the generic function summary for any
ddf model object. Each function can be called directly by the
user, but it is typically safest to use the generic function
summary which calls the appropriate function based on the type of
ddf model.
Jeff Laake
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