Relatedness (version 1.0)

Relatedness-package: An Algorithm to Infer Relatedness

Description

Inference of relatedness coefficients from a bi-allelic genotype matrix using a Maximum Likelihood estimation.

Details

This package infers relatedness coefficients from a bi-allelic genotype matrix. The main function is 'RelCoef' which infers those coefficients. The arguments of this function are a genotype matrix for individuals and an allele frequencies matrix for each markers and each population. Alternatively, a parental genotype matrix and a crossing matrix can be used. Information about structure can also be taken into account via a ParentPop vector (for more details see the help of 'RelCoef'). The main matrix is write with C language, make sure you can use this code.

Examples

require('Relatedness')
data(Genotype)
data(Frequencies)
data(Cross)
RelCoef(IndividualGenom=matrix(0,ncol=0,nrow=0),ParentalLineGenom=Genotype,
Freq=Frequencies,Crossing=Cross,ParentPop=rep(1,20),NbCores=2)