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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.
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❗ This is a read-only mirror of the CRAN R package repository. BeSS — Best Subset Selection in Linear, Logistic and CoxPH Models
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