The likestim
function gives multiloci estimation of the number of contributors to a forensic DNA mixture
using likelihood maximization.
1 |
mix |
a |
freq |
a |
refpop |
the reference population from which to extract the allele frequencies used in the likelihood
calculation. If |
theta |
a float from [0,1[ giving Wright's Fst coefficient. |
loc |
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 maxvalue
.
Hinda Haned <h.haned@nfi.minvenj.nl>
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
1 2 3 4 5 6 |
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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