View source: R/summary.cv.glmnetr_250502.R
summary.cv.glmnetr | R Documentation |
Summarize the cross-validation informed model fit. The fully penalized (gamma=1) beta estimate will not be given by default but can too be output using printg1=TRUE.
## S3 method for class 'cv.glmnetr'
summary(object, printg1 = "FALSE", orderall = FALSE, type = "lasso", ...)
object |
a nested.glmnetr() output object. |
printg1 |
TRUE to also print out the fully penalized lasso beta, else FALSE to suppress. |
orderall |
By default (orderall=FALSE) the order terms enter into the lasso model is given for the number of terms that enter in lasso minimizing loss model. If orderall=TRUE then all terms that are included in any lasso fit are described. |
type |
once of c("lasso", "elastic", "ridge") to select for summarizing, with default of "lasso". |
... |
Additional arguments passed to the summary function. |
Coefficient estimates (beta)
predict.cv.glmnetr
, nested.glmnetr
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