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• Replication Data for: A guide for generalized kernel regression methods for g... N3 | TTL | RDF/XML | JSON-LD

  CIMMYT Ethiopia

  The data contained in these datasets can be used to implement Bayesian generalized kernel regression methods for genome-enabled prediction in the statistical software R, The accompanying paper describes the building process of 7 kernel methods (linear, polynomial, sigmoid, Gaussian and Arc-cosine 1, Arc-cosine L).

  Created January 20, 2025 • Updated January 20, 2025
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