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 in both events. This may be a useful exploration, but it is possible that plotn2sim may be more informative.
1 2  plotn1n2simmatrix(N, conf = 0.95, nrange = NULL, nstep = NULL,
estimator = "Chapman", nsim = 10000, ...)

N 
The best guess at true abundance 
conf 
The desired level of confidence to investigate. Defaults to 0.95. 
nrange 
A twoelement vector describing the range of sample sizes to
investigate. If the default ( 
nstep 
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. 
... 
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, plotn2sim
1  plotn1n2simmatrix(N=10000, nsim=2000)

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