mincontri: Minimum number of contributors required to explain a forensic...

In hindantation/forensim: Statistical Tools for the Interpretation of Forensic DNA Mixtures

Minimum number of contributors required to explain a forensic DNA mixture

Description

mincontri gives the minimum number of contributors required to explain a forensic DNA mixture. This method is also known as the maximum allele count as it relies on the maximum number of alleles showed through all available loci

Usage

mincontri(mix, loc = NULL)

Arguments

mix	a simumix object
loc	the loci to consider for the calculation of the minimum of contributors, default (NULL) corresponds to all loci

Author(s)

Hinda Haned [e-mail]

See Also

likestim for the estimation of the number of contributors through likelihood maximization

Examples

## Not run: 
data(strusa)
#simulation of 1000 genotypes from the African American allele frequencies
gen<-simugeno(strusa,n=c(1000,0,0))
#5-person mixture
mix5<-simumix(gen,ncontri=c(5,0,0))
#compare
likestim(mix5, strusa, refpop="Afri")
mincontri(mix5)

## End(Not run)

hindantation/forensim documentation built on Oct. 8, 2022, 4:42 a.m.