sparse_nipals: Sparse NIPALS CCA algorithm
In pimentel/fscca: Fast SCCA
Description
Usage
Arguments
Value
Description
Sparse NIPALS CCA algorithm
Usage
1
sparse_nipals(X, Y, penalty_x, penalty_y, lamx, lamy)
Arguments
X
a matrix X that has been centered and scaled
Y
a matrix Y that has been centered and scaled
penalty_x
A character string of type "lasso"
penalty_y
A character string of type "lasso"
lamx
a positive penalty on 'a'
lamy
a positive penalty on 'b'
Value
a list containing a, b, u, v, and rho (covariance)
pimentel/fscca documentation built on May 25, 2019, 7:12 a.m.
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Description Usage Arguments Value
Description
Sparse NIPALS CCA algorithm
Usage
1 | sparse_nipals(X, Y, penalty_x, penalty_y, lamx, lamy)
|
Arguments
X |
a matrix X that has been centered and scaled |
Y |
a matrix Y that has been centered and scaled |
penalty_x |
A character string of type "lasso" |
penalty_y |
A character string of type "lasso" |
lamx |
a positive penalty on 'a' |
lamy |
a positive penalty on 'b' |
Value
a list containing a, b, u, v, and rho (covariance)
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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