dataL: Generic formula of the likelihood of the observed alleles in a mixture conditional on the number of contributors for a specific locus

Description

The function dataL gives the likelihood of a set of alleles observed at a specific locus conditional on the number of contributors that gave these alleles. Calculation is based upon the frequencies of the observed alleles.

Usage

dataL(x = 1, p, theta = 0)

Arguments

an integer giving the number of contributors

a numeric vector giving the frequencies of the observed alleles in the mixture

theta

a float in [0,1[. theta is equivalent to Wright's Fst. In case of population subdivision, it allows a correction of the allele frequencies in the subpopulation of interest

encoding

UTF-8

References

Haned H, Pene L, Lobry JR, Dufour AB, Pontier D. Estimating the number of contributors to forensic DNA mixtures: Does maximum likelihood perform better than maximum allele count? J Forensic Sci, accepted 2010. Curran JM, Triggs CM, Buckleton J, Weir BS. Interpreting DNA Mixtures in Structured Populations. J Forensic Sci 1999;44(5): 987-995

Examples

Run this code

#likelihood of observing two alleles at frequencies 0.1 and 0.01 when the number of 
#contributors is 2, in two cases:  theta=0 and theta=0.03
dataL(x=2,p=c(0.1,0.01), theta=0)
dataL(x=2,p=c(0.1,0.01), theta=0.03)