LeslieDepl: Leslie Depletion Method Estimator
In KevinSee/SiteAbundances: Template

Description Usage Arguments Value Author(s) References Examples

Estimates abundance and probability of capture from multiple pass removal methods

1	LeslieDepl(data, site.spec.p = F, Ricker.correction = T)

`data`	dataframe or matrix with site visits across each row and counts from each pass across the columns.
`site.spec.p`	If TRUE, fits a model assuming site-specific capture probabilities as random effects. If FALSE (default), assumes common capture probability.
`Ricker.correction`	If TRUE, uses the modification proposed by Ricker in 1975, which often results in slightly higher estimates of abunance.

Returns a dataframe consisting of 2 columns:

`N.hat`	- estimate of abundance
`N.hat.SE`	- standard error of the estimate of abundance
`p.hat`	- estimate of the probability of capture

Kevin See, QCI, Seattle, WA

Ogle, D. 2011. fishR vignette - depletion methods for estimating abundance.

data(depl.data)
# pull out examples with three-pass depletion data
three.pass.data = subset(depl.data, n.pass==3, select=c('pass.1', 'pass.2', 'pass.3'))
# estimate abundance with common catchability
LeslieDepl(three.pass.data)

# estimate abundance with site-specific catchability
LeslieDepl(three.pass.data, site.spec.p=TRUE)