A data set simulated for illustrating linear regression models. Generated by gen.gaussian.data(n = 200, p = 20, seed = 2021).

data(gau_data)

Format

A list with five elements: design matrix X, response y, correlation structure of the covariates Sigma, true beta beta, and the noise level sigma.

X

design matrix

y

response

beta

true beta values

sigma

the noise level

Examples

data("gau_data") cv.fit <- cv.glmtlp(gau_data$X, gau_data$y, family = "gaussian", penalty = "tlp") plot(cv.fit)