gs_single: Genomic selection for single phenotype and multiple models

In luisgarreta/ppGS: Parallel pipeline for Genomic Selection

Description

Function that performs genomic selection by evaluating in parallel multiple models on a single phenotype. Models are evaluated through cross-validation, then the best model is selected, and GEBVs are calculated using this model. Results are generated in both tables and graphics, and they include: GEBVs for target and training datasets, graphic comparison of predicted ability for each model (correlation between actual and predicted values), and comparison of execution times between models.

Usage

gs_single(paramsFile, outputDir = "")

Arguments

paramsFile	Filename of the parameter file (YAML Format).
outputDir	(Optional) Directory name where results will be saved. If empty, phenotype name is used.

Value

TRUE if no errors or FALSE otherwise.

luisgarreta/ppGS documentation built on Jan. 17, 2022, 9:23 p.m.