aic.R: These functions are used to compute Information Criteria such as AIC, BIC or EBIC from a fitted model object.
bess.one.R: Best subset selection with a specified model size for generalized linear models and Cox's proportional hazard model.
bess.R: Best subset selection for generalized linear model and Cox's proportional model. This function is used to determine the subset size k.
coef.bess.R: This function provides estimated coefficients from a fitted "bess" object or a fitted "bess.one" object.
deviance.bess.R: This function provides deviance from a fitted "bess" object or a fitted "bess.one" object.
LogLik.bess.R: This function provides loglikelihood from a fitted "bess" object or a fitted "bess.one" object.
plot.bess.R: Produces a coefficient profile plot of the coefficient or loss paths for a fitted "bess" object.
predict.bess.R: This function provides predictions from a fitted "bess" object or a fitted "bess.one" object.
print.bess.R: Print a summary of the "bess" path at each step along the path.