regressoR (version 1.2.1)

coef_lambda: coef_lambda

Description

generates the code to print the penalized regression coefficients.

Usage

coef_lambda(
  data = "datos.aprendizaje",
  variable.pred = NULL,
  model.var = "modelo.rlr",
  lambda = NULL,
  cv.var = "cv.glm"
)

Arguments

data

the name of the learning data.

variable.pred

the name of the variable to be predicted.

model.var

the name of the variable that stores the resulting model.

lambda

a numerical value in case you don't want to use the optimal lambda.

cv.var

the variable that stores the optimal lambda.

Examples

# NOT RUN {
library(glmnet)
x <- rlr_model('iris', 'Petal.Length')
exe(x)

x <- coef_lambda('iris','Petal.Length', 'modelo.rlr')
exe(x)

# }