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NormalBetaPrime (version 2.2)

Normal Beta Prime Prior

Description

Implements Bayesian linear regression, variable selection, normal means estimation, and multiple hypothesis testing using the normal-beta prime prior, as introduced by Bai and Ghosh (2019) and Bai and Ghosh (2019) . Normal means estimation and multiple testing for the Dirichlet-Laplace and horseshoe+ priors are also available in this package.

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Version

Install

install.packages('NormalBetaPrime')

Monthly Downloads

22

Version

2.2

License

GPL-3

Maintainer

Ray Bai

Last Published

January 19th, 2019

Functions in NormalBetaPrime (2.2)

dl.normalmeans

Normal Means Estimation and Hypothesis Testing with the Dirichlet-Laplace Prior
diabetes

Blood and other measurements in diabetics
singh2002

Prostate Cancer Study of Singh et al. (2002)
nbp.VB

Variational EM Algorithm for Normal-Beta Prime Regression
nbp.normalmeans

Normal Means Estimation and Hypothesis Testing with the NBP Prior
eyedata

The Bardet-Biedl syndrome gene expression data from Scheetz et al. (2006)
genes

Gene expression data for predicting Bardet-Biedl syndrome
trim32

Gene expression levels of TRIM32
hsplus.normalmeans

Normal Means Estimation and Hypothesis Testing with the Horseshoe+ Prior
nbp

Normal-Beta Prime Regression