Relaxed Lasso Model for Data Which Might Have Long Run Times Using 'glmnet'


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Documentation for package ‘glmnetr’ version 0.1-2

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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
glmnetrll_1fold Evaluate fit of leave out fold
glmnetr_devratio Get Deviance ratio.
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