gradsqr: The function of grad_square in the GCV
In optAUC: Optimal Combinations of Diagnostic Tests Based on AUC
View source: R/optimalAUC_functions.R
Description
The function of grad_square in the GCV
Usage
1
Arguments
beta
linear coefficients
X
m X p data matrix for m non-diseased subjects with p markers
Y
n X p data matrix for n diseased subjects with p markers
lambda
the smooth parameter for the Sigmoid function used for the AUC
optAUC documentation built on May 2, 2019, 2:07 a.m.
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View source: R/optimalAUC_functions.R
Description
The function of grad_square in the GCV
Usage
1 |
Arguments
beta |
linear coefficients |
X |
m X p data matrix for m non-diseased subjects with p markers |
Y |
n X p data matrix for n diseased subjects with p markers |
lambda |
the smooth parameter for the Sigmoid function used for the AUC |
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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