pretty_cv.glmnet {PheVis}

pretty_cv.glmnet

Description

Train a 'glmnet' with cross validation (cv) model and return convenient results (model and results with non zero coefficients)

Usage

pretty_cv.glmnet(
  x_glmnet,
  y,
  alpha = 1,
  family = "binomial",
  s = "lambda.1se",
  weights = rep(1, nrow(x_glmnet)),
  ...
)

Arguments

x_glmnet

Independent variable matrix (X)

y

Dependent variable vector (Y)

alpha

alpha parameter of glmnet (default = 1)

family

family parameter of glmnet (default = "binomial")

s

lambda chosen from cv.glmnet (default = "lambda.1se")

weights

glmnet parameter

...

additional parameters passed to glmnet

Value

A list with the model, the coefficient associated with variables and the selected variables.