CRAN/E | HDBRR

HDBRR

High Dimensional Bayesian Ridge Regression without MCMC

Installation

About

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.

Key Metrics

Version 1.1.4
R ≥ 3.0.0
Published 2022-10-05 571 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks HDBRR results

Downloads

Yesterday 10 0%
Last 7 days 52 -13%
Last 30 days 209 -8%
Last 90 days 648 -23%
Last 365 days 2.741 -15%

Maintainer

Maintainer

Blanca Monroy-Castillo Developer

blancamonroy.96@gmail.com

Authors

Sergio Perez-Elizalde Developer

aut

Blanca Monroy-Castillo Developer

aut / cre

Paulino Perez-Rodriguez User

ctb

Jose Crossa User

ctb

Material

Reference manual
Package source

Vignettes

HDBRR-extdoc

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

HDBRR archive

Depends

R ≥ 3.0.0

Imports

numDeriv
parallel
bigstatsr
MASS
graphics