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

View source: R/mincontri.R

mincontriR Documentation

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

Value

Integer with minium number of contibutors.

Author(s)

Hinda Haned hinda@owlsandarrows.nl

See Also

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

Examples

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)

forensim documentation built on June 8, 2025, 9:36 p.m.