Extract Coefficient Information from Models

# S3 method for glmnet
extract.coef(model, lambda = stats::median(model$lambda),
  ...)

Arguments

model

Model object from which to extract information.

lambda

Value of penalty parameter

...

Further arguments

Value

A data.frame containing the coefficient, the standard error and the variable name.

Details

Gets the coefficient values and variable names from a model. Since glmnet does not have standard errors, those will just be NA.

Examples

if (FALSE) { library(glmnet) library(ggplot2) library(useful) data(diamonds) diaX <- build.x(price ~ carat + cut + x - 1, data=diamonds, contrasts = TRUE) diaY <- build.y(price ~ carat + cut + x - 1, data=diamonds) modG1 <- glmnet(x=diaX, y=diaY) extract.coef(modG1) }