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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