cox_obj_function: Elastic net objective function value for Cox regression model

View source: R/coxpath.R

cox_obj_functionR Documentation

Elastic net objective function value for Cox regression model

Description

Returns the elastic net objective function value for Cox regression model.

Usage

cox_obj_function(
  y,
  pred,
  weights,
  lambda,
  alpha,
  coefficients,
  vp,
  view_components,
  rho
)

Arguments

y

Survival response variable, must be a Surv or stratifySurv object.

pred

Model's predictions for y.

weights

Observation weights.

lambda

A single value for the lambda hyperparameter.

alpha

The elasticnet mixing parameter, with 0 \le \alpha \le 1.

coefficients

The model's coefficients.

vp

Penalty factors for each of the coefficients.

view_components

a list of lists containing indices of coefficients and associated covariate (view) pairs

rho

the fusion parameter


multiview documentation built on April 3, 2023, 5:20 p.m.