BLR 1.4 – Bayesian Linear Regression

BLR 1.4

:: DESCRIPTION

BLR (Bayesian Linear Regression) was designed to fit parametric regression models using different types of shrinkage methods. Linear regression with high-dimensional predictors (e.g. SNP) and pedigree.

::DEVELOPER

Gustavo de los Campos

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 BLR

:: MORE INFORMATION

Citation:

Gustavo de los Campos, Hugo Naya , Daniel Gianola , José Crossa , Andrés Legarra , Eduardo Manfredi , Kent Weigel and José Miguel Cotes
Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree.
Genetics. 182;375-385, 2009. (doi:10.1534/genetics.109.101501)

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