BLR 1.6 / BGLR 1.0.8

:: 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.

BGLR: Bayesian Generalized Linear Regression

::DEVELOPER

Paulino Perez Rodriguez <perpdgo at colpos.mx>

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Windows/Linux/MacOsX.
• R Package

:: DOWNLOAD

 BLR / BGLR

:: 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)