Description Usage Arguments Value See Also Examples
This function estimates abundance and related parameters from a catch-effort method sample object (of class ‘sample.ce’).
1 | point.est.ce(sample, plot = FALSE)
|
sample |
object of class 'sample.ce´. |
plot |
if TRUE a plot of the cumulative removals and the fitted estimate. |
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 |
setpars.survey.rm
, generate.sample.rm
int.est.ce
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)
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