geno_logL_ssq {rubias} | R Documentation |
Calculate a matrix of sum-of-squares of genotype log-likelihoods for a genetic dataset
Description
Takes a list of key parameters from a genetic dataset, and calculates the sum of squared log-likelihood of each individual's genotype, given the allele counts in each collection. This is used for the quick-and-dirty Z-score calculations.
Usage
geno_logL_ssq(par_list)
Arguments
par_list |
genetic data converted to the param_list format by |
Details
Leave-One-Out cross-validation is used to avoid bias in log-likelihood for an individual's known collection of origin
Value
geno_logL
returns a matrix with C rows and I columns. Each column
represents an individual, and each row the log-likelihood of that individual's
genotype, given the allele counts in that collection
Examples
example(tcf2param_list)
ale_glL <- geno_logL(ale_par_list)
[Package rubias version 0.3.4 Index]