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assignPOP

Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework

Use Monte-Carlo and K-fold cross-validation coupled with machine- learning classification algorithms to perform population assignment, with functionalities of evaluating discriminatory power of independent training samples, identifying informative loci, reducing data dimensionality for genomic data, integrating genetic and non-genetic data, and visualizing results.

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VersionRepositoryFileSize
1.3.1 2026-04-09 windows/windows R-4.5 assignPOP_1.3.1.zip 256.4 KiB

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