Description Usage Arguments Details Value See Also Examples
Calculates parametric or non-parametric bootstrap confidence intervals of abundance for the point-to-nearest-object method.
1 2 | int.est.no(samp, vlevels = c(0.025, 0.975), ci.type = "boot.nonpar",
nboot = 999, plot = T, ...)
|
samp |
object of class 'sample.no´, generated with function
|
vlevels |
vector of percentage levels for confidence intervals. |
ci.type |
method for constructing the confidence interval. Possible methods are * 'boot.par´ for using parametric bootstrap, * 'boot.nonpar´ for using nonparametric bootstrap. |
nboot |
number of bootstrap replications. |
plot |
if TRUE the bootstrap distribution of the estimator of N is plotted using kernel smoothing. The confidence interval will also be plotted. |
... |
additional plot parameters |
The parametric bootstrap generates point-to-nearest-object parametrically from the distribution of these distances that applies under the assumption that animal groups are uniformly distributed in the survey region. The nonparametric bootstrap resamples with replacement from the observed distances. The confidence interval is calculated using the percentile method.
An object of class 'int.est.no´ containing the following items:
levels |
percentage levels for confidence interval |
ci |
the confidence interval |
boot.mean |
mean of bootstrap estimates |
boot.dbn |
full set of nboot bootstrap estimates. |
point.est.no
,
generate.sample.no
to create sample objects,
summary.sample.no
,
plot.sample.no
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# generating all necessary objects
myreg<-generate.region(x.length = 50, y.width = 80)
mydens <- generate.density()
mypoppars<-setpars.population(myreg, density.pop = mydens,
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 = 6,
exposure.shape = 1)
mypop<-generate.population(mypoppars)
mydes <- generate.design.no(myreg, n.points = 4)
mysamp<-generate.sample.no(mypop, mydes, with.neighbours=T)
# nonparametric bootstrap
my.int.est<-int.est.no(mysamp, ci.type="boot.nonpar")
# parametric bootstrap
my.int.est<-int.est.no(mysamp, ci.type="boot.par")
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