genDataset: genDataset
In gammadnamix: Package for intepretation of quantitative DNA mixtures

Description Usage Arguments Details Value Author(s)

Function for generating replicated mixture samples given same contributors and model parameters.

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genDataset(nC, popFreq, mu = 1000, sigma = 0.1, sorted = FALSE,
  threshT = 50, refData = NULL, mx = NULL, nrep = 1, stutt = 0,
  prC = 0, lambda = 0)

`nC`	Number of contributors in model.
`popFreq`	A list of allele frequencies for a given population.
`mu`	Expected peak heights for a het. single contributor allele
`sigma`	Coeffecient of variance of peak heights.
`sorted`	Boolean for wheter sorting the contributors with respect to decreasingly mixture proportions.
`threshT`	Required allele peak height in mixture
`refData`	A list of given reference profiles given as refData[[i]][[s]]. Default is random from population.
`mx`	A vector of known mixture proportions. Default is random uniform.
`nrep`	Number of peak height replicates (same contributors) to generate. Default is 1.
`stutt`	A numerical stutter ratio (one ahead). Default is 0.
`prC`	A numerical dropin probability. Default is 0.

genDataset samples random mixture peak heights given as gamma(rho*sum(h_k),tau), with h_k as peak height of k-te contributor. genData conditions on alleles given by refData. Empty references are generated with population frequencies.

List with elements theta,samples,refData where theta is the true parameters of the model. samples is a list with samples which for each samples has locus-list elements with list elements adata and hdata

Oyvind Bleka <Oyvind.Bleka.at.fhi.no>

gammadnamix documentation built on May 2, 2019, 4:59 p.m.