glm.multigaussian: Creates a MultiGaussian GLM family object.

In adelie: Group Lasso and Elastic Net Solver for Generalized Linear Models

Creates a MultiGaussian GLM family object.

Description

A GLM family object specifies the type of model fit, provides the appropriate response object and makes sure it is represented in the right form for the model family, and allows for optional parameters such as a weight vector.

Usage

glm.multigaussian(y, weights = NULL, opt = TRUE)

Arguments

y	Response matrix, with two or more columns.
weights	Observation weight vector, with default NULL.
opt	If TRUE (default), an optimized routine is run.

Value

MultiGaussian GLM object.

Author(s)

James Yang, Trevor Hastie, and Balasubramanian Narasimhan
Maintainer: Trevor Hastie [e-mail]

See Also

glm.gaussian, glm.binomial, glm.poisson, glm.multinomial, glm.multigaussian, glm.cox.

Examples

n <- 100
K <- 5
y <- matrix(rnorm(n*K), n, K)
obj <- glm.multigaussian(y)

adelie documentation built on Sept. 11, 2024, 6:36 p.m.