| likestim.loc | R Documentation | 
The likestim.loc function returns the estimation of the number of contributors,
at each locus, obtained by maximizing the likelihood. 
likestim.loc(mix, freq, refpop = NULL, theta = NULL, loc = NULL)
| mix |  a  | 
| freq |  a  | 
| refpop |  the reference population from which to extract the allele frequencies used in the likelihood 
calculation.  Default set to NULL, 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 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, maxvalue, 
gives the corresponding likelihood value.
Hinda Haned <hinda@owlsandarrows.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  for multiloci estimations
data(strusa)
#simulation of 1000 genotypes from the Hispanic allele frequencies
gen<-simugeno(strusa,n=c(0,0,100))
#4-person mixture
mix4 <- simumix(gen,ncontri=c(0,0,4))
likestim.loc(mix4,strusa,refpop="Hisp")
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