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.
1 2 3 4 5 6 7 8 | 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)
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