Package: BayesVarSel 2.2.5

Gonzalo Garcia-Donato

BayesVarSel: Bayes Factors, Model Choice and Variable Selection in Linear Models

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

Authors:Gonzalo Garcia-Donato [aut, cre], Anabel Forte [aut], Carlos Vergara-Hernández [ctb]

# Install 'BayesVarSel' in R:

install.packages('BayesVarSel', repos = c('https://comodin19.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

Datasets:

On CRAN:

Last updated 4 months agofrom:e050b9caa4. Checks:OK: 1 NOTE: 8. Indexed: yes.

Dependencies:MASS mvtnorm

Help page	Topics
Bayes Factors, Model Choice And Variable Selection In Linear Models	BayesVarSel-package BayesVarSel
Bayesian Model Averaged estimations of regression coefficients	BMAcoeff
Bayes factors and posterior probabilities for linear regression models	Btest
Bayesian Variable Selection for linear regression models	Bvs
Bayesian Variable Selection for linear regression models using Gibbs sampling.	GibbsBvs
Bayesian Variable Selection with Factors for linear regression models using Gibbs sampling.	GibbsBvsF
Hald data	Hald
A function for histograms-like representations of objects of class 'bma.coeffs'	histBMA
Computation of Jointness measurements.	Jointness
OBICE data	OBICE
Ozone35 dataset	Ozone35
A function for plotting summaries of an object of class 'Bvs'	plot.Bvs
Correction for p>>n for an object of class 'Bvs'	pltltn
Bayesian Model Averaged predictions	predict.Bvs
Print an object of class 'Btest'	print.Btest
Print an object of class 'Bvs'	print.Bvs
Print an object of class 'jointness'	print.jointness
SDM data	SDM
Summary of an object of class 'Bvs'	summary.Bvs