cv.twosets: Two-fold Cross-Validation
In pass: Prediction and Stability Selection of Tuning Parameters
Description
Usage
Arguments
Value
Description
To calcuate two-fold cross-validation based on a random splitting
Usage
1
cv.twosets(data1, beta1.hat, data2, beta2.hat)
Arguments
data1
The first subsample
beta1.hat
The sparse solution obtained from the first subsample
data2
The second subsample
beta2.hat
The sparse solution obtained from the second subsample
Value
cv.value
The two-fold cross-validation value.
pass documentation built on May 30, 2017, 3:33 a.m.
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Description Usage Arguments Value
Description
To calcuate two-fold cross-validation based on a random splitting
Usage
1 | cv.twosets(data1, beta1.hat, data2, beta2.hat)
|
Arguments
data1 |
The first subsample |
beta1.hat |
The sparse solution obtained from the first subsample |
data2 |
The second subsample |
beta2.hat |
The sparse solution obtained from the second subsample |
Value
cv.value |
The two-fold cross-validation value. |
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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