gau_data: A simulated gaussian data set.
In glmtlp: Generalized Linear Models with Truncated Lasso Penalty
gau_data R Documentation
A simulated gaussian data set.
Description
A data set simulated for illustrating linear regression models. Generated by
gen.gaussian.data(n = 200, p = 20, seed = 2021).
Usage
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)
glmtlp documentation built on Oct. 3, 2024, 1:08 a.m.
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| gau_data | R Documentation |
A simulated gaussian data set.
Description
A data set simulated for illustrating linear regression models. Generated by
gen.gaussian.data(n = 200, p = 20, seed = 2021).
Usage
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)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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