summary.ds.mixture: Summarize a ds.mixture object

Description

Summarize a ds.mixture object. The function provides information on parameter estimates, estimates of the abundance in the covered area and the average detectability and their respective standard errors and coefficients of variation.

Usage

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  ## S3 method for class 'ds.mixture'
 summary(object, ...)

Arguments

object

A fitted mixture model detection function object.

...

Anything, but it will be ignored.

Value

a summary of a ds.mixture object.

Author(s)

David L. Miller

References

Miller, D.L. and L. Thomas (in prep.). Mixture model distance sampling detection functions.

Examples

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library(mmds)
set.seed(0)
## simulate some line transect data from a 2 point mixture
sim.dat<-sim.mix(c(-0.223,-1.897,inv.reparam.pi(0.3)),2,100,1)
## fit the model
fit.sim.dat<-fitmix(sim.dat,1,2)
## what happened?
summary(fit.sim.dat)

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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