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