print.cv_glmaag: the results of the cross validation model
In glmaag: Adaptive LASSO and Network Regularized Generalized Linear Models
Description
Usage
Arguments
Examples
Description
print fitted information
Usage
1
2
Arguments
x
the fitted cv_glmaag object
...
...
Examples
1
2
3
4
5
6
7
data(sampledata)
data(L0)
y <- sampledata$Y_Gau
x <- sampledata[, -(1:3)]
cvwhich <- sample(rep(0:4, length.out = length(y)))
mod <- cv_glmaag(y, x, L0, cvwhich = cvwhich)
print(mod)
glmaag documentation built on May 10, 2019, 9:04 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Examples
Description
print fitted information
Usage
1 2 |
Arguments
x |
the fitted cv_glmaag object |
... |
... |
Examples
1 2 3 4 5 6 7 | data(sampledata)
data(L0)
y <- sampledata$Y_Gau
x <- sampledata[, -(1:3)]
cvwhich <- sample(rep(0:4, length.out = length(y)))
mod <- cv_glmaag(y, x, L0, cvwhich = cvwhich)
print(mod)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.