adelie (version 1.0.7)

glm.multigaussian: 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)

Value

MultiGaussian GLM object.

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.

Author

James Yang, Trevor Hastie, and Balasubramanian Narasimhan
Maintainer: Trevor Hastie

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)