Learn R Programming

BayesVarSel (version 2.4.5)

Bayes Factors, Model Choice and Variable Selection in Linear Models

Description

Bayes factors and posterior probabilities in Linear models, aimed at provide a formal Bayesian answer to testing and variable selection problems.

Copy Link

Version

Install

install.packages('BayesVarSel')

Monthly Downloads

509

Version

2.4.5

License

GPL-2

Issues

Pull Requests

Stars

Forks

Maintainer

Gonzalo Garcia-Donato

Last Published

January 8th, 2025

Functions in BayesVarSel (2.4.5)

Btest

Bayes factors and posterior probabilities for linear regression models
BMAcoeff

Bayesian Model Averaged estimations of regression coefficients
GibbsBvs

Bayesian Variable Selection for linear regression models using Gibbs sampling.
GibbsBvsF

Bayesian Variable Selection with Factors for linear regression models using Gibbs sampling.
Bvs

Bayesian Variable Selection for linear regression models
Ozone35

Ozone35 dataset
OBICE

OBICE data
Hald

Hald data
BayesVarSel-package

Bayes Factors, Model Choice And Variable Selection In Linear Models
predict.Bvs

Bayesian Model Averaged predictions
SDM

SDM data
histBMA

A function for histograms-like representations of objects of class bma.coeffs
Jointness

Computation of Jointness measurements.
print.Bvs

Print an object of class Bvs
print.jointness

Print an object of class jointness
plot.Bvs

A function for plotting summaries of an object of class Bvs
summary.Bvs

Summary of an object of class Bvs
print.Btest

Print an object of class Btest
pltltn

Correction for p>>n for an object of class Bvs