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HDBRR (version 1.1.4)

High Dimensional Bayesian Ridge Regression without MCMC

Description

Ridge regression provide biased estimators of the regression parameters with lower variance. The HDBRR ("High Dimensional Bayesian Ridge Regression") function fits Bayesian Ridge regression without MCMC, this one uses the SVD or QR decomposition for the posterior computation.

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Version

Install

install.packages('HDBRR')

Monthly Downloads

169

Version

1.1.4

License

GPL (>= 2)

Maintainer

Blanca Monroy-Castillo Developer

Last Published

October 5th, 2022

Functions in HDBRR (1.1.4)

matop

matop
HDBRR

High Dimensional Bayesian Ridge Regression without MCMC.
pheno

Durum Wheat
X

Durum Wheat X
phenowheat

Durum wheat dataset