genotype1

A simulated data frame of genotype data with <code>N = 1000</code> individuals genotyped at <code>P = 10</code> loci.
	Each string represents two alleles : <code>ploidy = 2</code>. For example, "109107" represents $\left{"109", "107"\right}$. The last column of the data frame contains integers that represent the population membership.

Genotype

Multi-Locus

An implementation of a variable selection procedure in clustering by mixture of multinomial models for discrete data. Genotype data are examples of such data with two unordered observations (alleles) at each locus for diploid individual. The two-fold problem of variable selection and clustering is seen as a model selection problem where competing models are characterized by the number of clusters K, and the subset S of clustering variables. Competing models are compared by penalized maximum likelihood criteria. We considered asymptotic criteria such as Akaike and Bayesian Information criteria, and a family of penalized criteria with penalty function to be data driven calibrated. 

Wilson Toussile

ClustMMDD

Variable Selection in Clustering by Mixture Models for Discrete
        Data

genotype1 function

The format is: chr [1:1000, 1:10] "109107" "105101" "106106" ... and the 11 th column contains integers representing
	the prior classification in <code>5</code> sub-populations.

genotype1: `genotype1` is a data frame of genotype data with `ploidy = 2.`

Description

Arguments

format

References

See Also

Examples