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Is there any function in the package for DAPC (or other adegenet analyses) that enables to perform leave one out cross validations in the model?
I am analysing a small dataset using DAPC in a proof of concept study and since I do not have many replicates per group (<10 replicates per group) I would like to cross validate the model using LOOCV method.
The text was updated successfully, but these errors were encountered:
Is there any function in the package for DAPC (or other adegenet analyses) that enables to perform leave one out cross validations in the model?
I am analysing a small dataset using DAPC in a proof of concept study and since I do not have many replicates per group (<10 replicates per group) I would like to cross validate the model using LOOCV method.
The text was updated successfully, but these errors were encountered: