summary.abund function

Summarize abundance estimates

Summarize an object of class c("abund","dfunc")

that is output by abundEstim.

## S3 method for class 'abund'
summary(object, criterion = "AICc", ...)

Arguments

• object: An Rdistance model frame or fitted distance function, normally produced by a call to dfuncEstim.
• criterion: A string specifying the model fit criterion to print. Must be one of "AICc" (the default), "AIC", or "BIC". See AIC.dfunc for formulas.
• ...: Included for compatibility to other print methods. Ignored here.

Returns

0 is invisibly returned.

Details

If the proportion of bootstrap iterations that failed is greater than getOption("Rdistance_maxBSFailPropForWarning"), a warning about the validity of CI's is issued and a diagnostic message printed. Increasing this option to a number greater than 1 will kill the warning (e.g., options(Rdistance_maxBSFailPropForWarning = 1.3)), but ignoring a large number of non-convergent bootstrap iterations may be a bad idea (i.e., validity of the CI is questionable). The default value for Rdistance_maxBSFailPropForWarning

is 0.2.

Examples

# Load example sparrow data (line transect survey type)
data(sparrowDf)

# Fit half-normal detection function
dfunc <- sparrowDf |> dfuncEstim(formula=dist ~ 1 + offset(groupsize))

# Estimate abundance given the detection function
fit <- abundEstim(dfunc
                , area = units::set_units(4105, "km^2")
                , ci=NULL)
summary(fit) # No confidence intervals
                
## Not run:

# With bootstrap confidence intervals 
# Requires ~3 min to complete
fit <- abundEstim(dfunc
                , area = units::set_units(4105, "km^2")
                , ci=0.95)

summary(fit)
## End(Not run)

See Also

dfuncEstim, abundEstim, summary.dfunc, print.dfunc, print.abund