Description Usage Arguments Value Author(s) References
View source: R/GetNonNeutralLoci.R
Performs selection of marker loci with extreme estimated Fst values using the approach developed by Gianola et al. (2010).
1 | GetNonNeutralLoci(PostMeansFull,NullSamples,tailp)
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PostMeansFull |
Vector of dimension equal to the number of markers containing estimated posterior means of Fst under the 'full model'. |
NullSamples |
Matrix of dimension (number of markers) X N.Samples containing the Monte Carlo samples from the posterior distribution of Fst under the 'null model'. |
tailp |
Numeric value indicating the tail probability used to declare a value as extreme under the null posterior distribution of Fst. |
A list containing the following objects. CandidateLoci: A vector with the selected markers. The ID's correspond to the sequential number of the marker matching their order in the columns of the input dataset. N.CandidateLoci: Integer indicating the number of selected markers.
Carlos Alberto Martínez Niño (cmartinez@agrosavia.co).
Gianola, D., Simianer, H., Qanbari, S. 2010. A two-step method for detecting selection signatures using genetic markers. Genetic Research Cambridge, 92; 141-155.
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