gau_data.Rd
A data set simulated for illustrating linear regression models. Generated by
gen.gaussian.data(n = 200, p = 20, seed = 2021)
.
data(gau_data)
A list with five elements: design matrix X
, response y
,
correlation structure of the covariates Sigma
, true beta beta
,
and the noise level sigma
.
design matrix
response
true beta values
the noise level
data("gau_data") cv.fit <- cv.glmtlp(gau_data$X, gau_data$y, family = "gaussian", penalty = "tlp") plot(cv.fit)