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Table 1 Softwares

From: Ridge, Lasso and Bayesian additive-dominance genomic models

Method Full name of the method Class of methods DF1 DF2 Software
BRR (−2,-2) Bayesian Ridge Regression Bayesian −2 −2 GS3
IBLASSO (4,-2) Improved Bayesian Lasso Bayesian Lasso 4 −2 GS3
IBLASSO (4,2) Improved Bayesian Lasso Bayesian Lasso 4 2 GS3
BAYESA*B* (−2,6) IBLASSO with t distribution Bayesian Lasso −2 6 GS3
BAYESA*B* (4,6) IBLASSO with t distribution Bayesian Lasso 4 6 GS3
BAYESA*B* (−2,8) IBLASSO with t distribution Bayesian Lasso −2 8 GS3
RR-HET (-2,–2) RR-BLUP with heterogeneous variance Ridge Regression -2 −2 GS3
BLASSO (4,2) Bayesian Lasso Bayesian Lasso 4 2 BLR-R
G-BLUP Genomic BLUP Random Regression - - GVC
Pedigree-BLUP Pedigree-BLUP Random Regression - - Pedigreem-R
  1. Description of the fitted models and softwares used
  2. DF1: Degrees of Freedom of the chi-square prior distribution for the residual variance;
  3. DF2: Degrees of Freedom of the chi-square prior distribution for genetic variance or shrinkage parameter