pretty_cv.glmnet: pretty_cv.glmnet

In PheVis: Automatic Phenotyping of Electronic Health Record at Visit Resolution

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.

PheVis documentation built on Oct. 20, 2023, 9:08 a.m.