aicreg                  Identify model based upon AIC criteria from a
                        stepreg() putput
best.preds              Get the best models for the steps of a
                        stepreg() fit
cox.sat.dev             Calculate the CoxPH saturated log-likelihood
cv.glmnetr              Get a cross validation informed relaxed lasso
                        model fit.
cv.stepreg              Cross validation informed stepwise regression
                        model fit.
difftime1               Get elapsed time in c(hour, minute, secs)
difftime2               Output to console the elapsed and split times
getlamgam               get numerical values for lam and gam
glmnetr                 Fit relaxed part of lasso model
glmnetr.compcv          Compare cross validation fits from a
                        nested.glmnetr output.
glmnetr.compcv0         A glmnetr specifc paired t-test
glmnetr.simdata         Generate example data
glmnetr_devratio        Get Deviance ratio.
glmnetrll_1fold         Evaluate fit of leave out fold
nested.glmnetr          Using nested cross validation, describe the fit
                        of a cross validation informed relaxed lasso
                        model fit.
plot.cv.glmnetr         Plot cross-validation deviances, or model
                        coefficients.
plot.glmnetr            Plot the relaxed lasso coefficients.
plot.nested.glmnetr     Plot the cross validated relaxed lasso
                        deviances or coefficients from a nested.glmnetr
                        call.  See plot.cv.glmnetr().
predict.cv.glmnetr      Give predicteds based upon a cv.glmnetr()
                        output object.
predict.cv.stepreg      Beta's or predicteds based upon a cv.stepreg()
                        output object.
predict.glmnetr         Get predicteds or coefficients using a glmnetr
                        output object
predict.nested.glmnetr
                        Give predicteds based upon the cv.glmnet output
                        object contained in the nested.glmnetr output
                        object.
preds_1                 Get predictors form a stepwise regression
                        model.
stepreg                 Fit the steps of a stepwise regression.
summary.cv.glmnetr      Output summary of a cv.glmnetr() output object.
summary.cv.stepreg      Summarize results from a cv.stepreg() output
                        object.
summary.nested.glmnetr
                        Summarize a a nested.glmnetr() output object
summary.stepreg         Briefly summarize steps in a stepreg() output
                        object, i.e. a stepwise regression fit
