Maximum likelihood estimation of the number of contributors to a forensic DNA mixture for a set of loci
likestim function gives multiloci estimation of the number of contributors to a forensic DNA mixture
using likelihood maximization.
the reference population from which to extract the allele frequencies used in the likelihood
a float from [0,1[ giving Wright's Fst coefficient.
loci to be considered in the estimation. Default (set to NULL) corresponds to all loci.
The number of contributors which maximizes the likelihood of the data observed in the mixture is searched in the discrete interval [1,6]. In most cases this interval is a plausible range for the number of contributors.
A matrix of dimension 1 x 2, the first column,
max, gives the maximum likelihood estimation of the number of contributors,
the second column
gives the corresponding likelihood value
Hinda Haned <email@example.com>
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.
Egeland T, Dalen I, Mostad PF.
Estimating the number of contributors to a DNA profile. Int J Legal Med 2003, 117: 271-275
Curran JM, Triggs CM, Buckleton J, Weir BS. Interpreting DNA Mixtures in Structured Populations. J Forensic Sci 1999, 44(5): 987-995
likestim.loc for maximum of likelihood estimations per locus
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