View source: R/dCVnet_utilities.R
tidy_coef.glmnet | R Documentation |
return a dataframe of glmnet coefficients
tidy_coef.glmnet(mod, s, label = "Coef")
tidy_coef.multialpha.repeated.cv.glmnet(
mod,
s = NULL,
alpha = NULL,
label = "Coef"
)
mod |
a fitted glmnet object (alpha is determined by the object) |
s |
the value of penalty parameter lambda at which predictions are required. |
label |
an optional label (value is added in column "label") |
alpha |
specify an alpha, or leave NULL to use the optimal alpha
identified by |
tidy_coef.multialpha.repeated.cv.glmnet()
: return a dataframe of coefficients
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