Simulate complete DNA profiles given IBD coefficients
This function generalises markerSimParametric() in the same way that
profileSim() generalises markerSim().
profileSimParametric(
kappa = NULL,
delta = NULL,
states = NULL,
N = 1,
freqList = NULL,
seed = NULL,
returnValue = c("singletons", "alleles", "genotypes", "internal")
)kappa |
A probability vector of length 3, giving a set of realised kappa coefficients (between two noninbred individuals). |
delta |
A probability vector of length 9, giving a set of condensed identity coefficients (Jacquard coefficients). |
states |
An integer vector of length |
N |
A positive integer: the number of complete profiles to be simulated |
freqList |
A list of numeric vectors. Each vector is the allele frequencies of a marker. |
seed |
An integer seed for the random number generator (optional). |
returnValue |
Either "singleton" (default) or "alleles". (see Value). |
A list of length N, whose entries are determined by returnValue,
as explained in markerSimParametric().
# A single profile with 9 markers, each with forced identity state profileSimParametric(states = 1:9, freqList = NorwegianFrequencies[1:9])
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