selectAlpha: Function to select the most optimal alpha parameter
In MAMA: Meta-Analysis of MicroArray
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Function selects the most optimal value of alpha parameter according to pAUC.
For each of possible alphas the pAUC is computed as a measure of the separabilty of two distributions of similarity score: random and subsampled (prepared by function RandomScore.
Alpha with maximal pAUC is selected.
Usage
1
selectAlpha(alpha, subsample, random)
Arguments
alpha
Vector of possible alphas
subsample
Similarity scores after subsampling
random
Similarity scores after permuting class labels
Value
A list:
alpha
selected value of alpha
pAUC
pAUC for all alphas achivied
Author(s)
Ivana Ihnatova
See Also
MAMA documentation built on Jan. 15, 2017, 3:05 p.m.
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Description Usage Arguments Value Author(s) See Also
Description
Function selects the most optimal value of alpha parameter according to pAUC.
For each of possible alphas the pAUC is computed as a measure of the separabilty of two distributions of similarity score: random and subsampled (prepared by function RandomScore.
Alpha with maximal pAUC is selected.
Usage
1 | selectAlpha(alpha, subsample, random)
|
Arguments
alpha |
Vector of possible alphas |
subsample |
Similarity scores after subsampling |
random |
Similarity scores after permuting class labels |
Value
A list:
alpha |
selected value of alpha |
pAUC |
pAUC for all alphas achivied |
Author(s)
Ivana Ihnatova
See Also
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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