Description Usage Arguments Value Examples
Run multiple simulations of a mixed stock systems with specified marker frequencies and source contributions, running multiple estimations (bootstrap samples or MCMC chains) for each simulation
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sim.n |
Number of simulations to run |
mc.n |
Number of bootstrap/MCMC chains to run for each simulation |
totsamp |
total sample size (to be distributed half in mixed stock and half, evenly, among sources) |
which |
which markers to use: "common", "rare", or "all" |
true.freq |
matrix of true marker frequencies in the sources (column=source, row=marker) |
true.contrib |
vector of true contributions of sources to the mixed stock |
est |
estimation method: "MCMC" (Markov Chain Monte Carlo), "cml" (conditional max. likelihood), or "uml" (unconditional max. likelihood) |
verbose |
produce lots of debugging output? |
fuzz |
"fuzz" parameters for (e.g.) keeping estimated values away from 0/1 |
nboot |
Number of bootstrap samples/length of MCMC chain |
bootrpt |
Frequency for reporting on the progress of bootstrap code |
minmarks |
Minimum number of markers to allow for a simulation |
Array of the results from all simulations and bootstrap samples
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