point.est.crMb: Mark Recapture Method Mb Abundance Estimation: Point Estimate

Description Usage Arguments Value See Also Examples

Description

This function estimates abundance and related parameters from a mark recapture method sample object (of class ‘sample.cr’), using the mark recapture model Mb.

Usage

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        point.est.crMb(samp.cr, init.N = -1)

Arguments

sample

object of class 'sample.cr.´

init.N

starting value of N used in maximum likelihood optimisation routine

Value

An object of class 'point.est.crMb´ containing the following items:

sample

details of the object of class 'sample.cr', used to create the sample

Nhat.grp

MLE of group abundance

Nhat.ind

MLE of individual abundance (= Nhat.grp * Es)

phat

Estimate(s) of capture probability for the relevant model (try it and see)

Es

Estimate of mean group size (simple mean of observed group sizes)

log.Likelihood

Value of log-likelihood at MLE

res.Deviance

Residual deviance at MLE

AIC

Akaike's information criterion

init.N

starting value of N used in maximum likelihood optimisation routine

parents

Details of WiSP objects passed to function

created

Creation date and time

See Also

setpars.survey.cr, generate.sample.cr int.est.crMb

Examples

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cr.reg<-generate.region(x.length=100, y.width=50)

cr.dens <- generate.density(cr.reg)
cr.poppars<-setpars.population(density.pop = cr.dens, number.groups = 100, 
                               size.method = "poisson", size.min = 1, size.max = 5,
                               size.mean = 1, exposure.method = "beta",
                               exposure.min = 2, exposure.max = 10, exposure.mean = 3,
                               exposure.shape = 0.5, type.values = c("Male","Female"),
                               type.prob = c(0.48,0.52))
cr.pop<-generate.population(cr.poppars)

cr.des<-generate.design.cr(cr.reg, n.occ = 4)
cr.survpars<-setpars.survey.cr(cr.pop, cr.des, pmin.unmarked=0.00001, pmax.unmarked=0.5, improvement=0.01)
cr.samp<-generate.sample.cr(cr.survpars)

# Mb
cr.est.Mb<-point.est.crMb(cr.samp)
summary(cr.est.Mb)

dill/wisp documentation built on May 15, 2019, 8:31 a.m.