rescaling: Kernel matrix rescaling
In Anderson-Lab/CCPredict: CCPredict
Description
Usage
Arguments
Value
Description
Uses an optimized lambda to rescale K (the kernel matrix) by way of X
(the data set)
Usage
1
rescaling(X, L, lambda)
Arguments
X
- input data matrix
L
- side information matrix
lambda
- optimized lambda value (see Li et al.)
Value
the rescaled matrices X and K
Anderson-Lab/CCPredict documentation built on May 5, 2019, 5:58 a.m.
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Description Usage Arguments Value
Description
Uses an optimized lambda to rescale K (the kernel matrix) by way of X (the data set)
Usage
1 | rescaling(X, L, lambda)
|
Arguments
X |
- input data matrix |
L |
- side information matrix |
lambda |
- optimized lambda value (see Li et al.) |
Value
the rescaled matrices X and K
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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