The lik
function computes the likelihood of the observed alleles in a forensic DNA mixture, for a set
of loci, conditional on the number of contributors to the mixture. The overall likelihood is computed as the
product of loci likelihoods.
1 
x 
the number of contributors to the DNA mixture, default is 1 
mix 
a 
freq 
a 
refpop 
a factor giving the reference population in 
theta 
a float from [0,1[ giving Wright's Fst coefficient.

loc 
loci for which the overall likelihood shall be computed. Default (NULL) corresponds to all loci 
lik
computes the likelihood of the alleles observed at all loci conditional on the number of contributors.
This function implements the general formula for the interpretation of DNA mixtures
in case of population subdivision (Curran et al, 1999), in the particular case where all contributors are unknown
and belong to the same subpopulation.
The likelihood for multiple loci is computed as the product of loci likelihoods.
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.
Curran JM, Triggs CM, Buckleton J, Weir BS. Interpreting DNA Mixtures in Structured Populations.
J Forensic Sci 1999;44(5): 987995
lik.loc
for the likelihood per locus, likestim
and
likestim.loc
for the estimation of the number of contributors to a DNA mixture through
likelihood maximization
1 2 3 4 5 6 
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
All documentation is copyright its authors; we didn't write any of that.