Maximum likelihood estimation per locus of the number of contributors to forensic DNA mixtures.
likestim.loc function returns the estimation of the number of contributors,
at each locus, obtained by maximizing the likelihood.
the reference population from which to extract the allele frequencies used in the likelihood
calculation. Default set to NULL, if
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
loc x 2. The first colum,
max, gives the maximum likelihood estimation
of the number of contributors for each locus in row. 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 for multiloci estimations
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