bootdht_Dhat_summarize: Simple summary of density results for bootstrap model

In Distance: Distance Sampling Detection Function and Abundance Estimation

Simple summary of density results for bootstrap model

Description

When using bootdht one needs to use a summary function to extract results from the resulting models per replicate. This function is the simplest possible example of such a function, that just extracts the estimated density (with stratum labels).

Usage

bootdht_Dhat_summarize(ests, fit)

Arguments

ests	output from dht2.
fit	fitted detection function object (unused).

Details

Further examples of such functions can be found at http://examples.distancesampling.org.

Value

data.frame with two columns ("Dhat" and "Label"), giving the estimate(s) of density of individuals per stratum from each bootstrap replicate. This data.frame can be examined for example, with quantile to compute confidence intervals.

See Also

bootdht which this function is to be used with and bootdht_Nhat_summarize which does the same job but returns abundance results.

Distance documentation built on Oct. 24, 2024, 5:08 p.m.