Description Usage Arguments Note Author(s) See Also Examples
Produces a plot of the simulated relative accuracy of a markrecapture abundance estimator for various sample sizes. This may be a better representation of the sample size  accuracy relationship than that provided by n2RR.
1 2 
N 
The best guess at true abundance 
n1 
The size of the first (or second) sampling event 
conf 
A vector of the desired levels of confidence to investigate.
Allowed values are any of 
n2range 
A twoelement vector describing the range of sample sizes to
investigate. If the default ( 
n2step 
The step size between sample sizes to investigate. If the
default ( 
estimator 
The abundance estimator to use. Allowed values are

nsim 
The number of replicates. Defaults to 10000. 
accrange 
The maximum level of relative accuracy for plotting. Defaults to 1. 
... 
Additional plotting parameters 
Any Petersentype estimator (such as this) depends on a set of assumptions:
The population is closed; that is, that there are no births, deaths, immigration, or emigration between sampling events
All individuals have the same probability of capture in one of the two events, or complete mixing occurs between events
Marking in the first event does not affect probability of recapture in the second event
Individuals do not lose marks between events
All marks will be reported in the second event
Matt Tyers
n2RR, plotn1n2simmatrix
1  plotn2sim(N=1000, n1=100)

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