point.est.ce: Catch-Effort Method Method Abundance Estimation: Point...

Description Usage Arguments Value See Also Examples

Description

This function estimates abundance and related parameters from a catch-effort method sample object (of class ‘sample.ce’).

Usage

1

Arguments

sample

object of class 'sample.ce´.

plot

if TRUE a plot of the cumulative removals and the fitted estimate.

Value

An object of class 'point.est.ce´ 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)

theta

MLE of the parameter of the detection probability function which is p(ls) = e^(-theta * ls) where 'ls´ is the effort

pshat

Estimators of the detection probability on each survey occasion p(ls) = e^(-theta * ls), where ls is the effort

Es

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

log.Likelihood

Value of log-likelihood at the MLE

AIC

Akaike's information criterion

parents

Details of WiSP objects passed to function

created

Creation date and time

See Also

setpars.survey.rm, generate.sample.rm int.est.ce

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
rm.reg<-generate.region(x.length=100, y.width=50)

rm.dens <- generate.density(rm.reg)
rm.poppars<-setpars.population(density.pop = rm.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))
rm.pop<-generate.population(rm.poppars)

rm.des<-generate.design.rm(rm.reg, n.occ = 5, effort=c(1,2,3,2,1))
rm.survpars<-setpars.survey.rm(pop=rm.pop, des=rm.des, pmin=0.03, pmax=0.95, improvement=0.05)
rm.samp<-generate.sample.rm(rm.survpars)

# Catch-effort method
ce.est<-point.est.ce(rm.samp)
summary(ce.est)
plot(ce.est)

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