R: Bayesian Variable Selection using Power-Expected-Posterior Prior

# Bayesian Variable Selection using Power-Expected-Posterior Prior

## Documentation for package ‘PEPBVS’ version 2.2

- DESCRIPTION file
- Package NEWS

## Help Pages

PEPBVS-package | Bayesian variable selection using power-expected-posterior prior
comparepriors.lm | Selected models under different choices of prior on the model parameters and the model space
estimation.pep | Model averaged estimates
image.pep | Heatmap for top models
pep.lm | Bayesian variable selection for Gaussian linear models using PEP through exhaustive search or with the MC3 algorithm
peptest | Bayes factor for model comparison
plot.pep | Plots for object of class pep
posteriorpredictive.pep | Posterior predictive distribution under Bayesian model averaging
predict.pep | (Point) Prediction under PEP approach
print.pep | Printing object of class pep
UScrime_data | US Crime Data