s0cca.final: Final s0cca model calculation
In DongyueXie/scca: Sparse Canonical Correlation Analysis - Intergrated Methods
Description
Usage
Arguments
Value
Description
Final s0cca model calculation
Usage
1
s0cca.final(x, y, lambda, covI = T)
Arguments
x, y:
data matrix
lambda:
thresholding parameter
covI:
If ture, using identity matrix for cov(x) and cov(y).
Value
estimated coefficients and correlation
DongyueXie/scca documentation built on May 29, 2019, 2:37 p.m.
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Description Usage Arguments Value
Description
Final s0cca model calculation
Usage
1 | s0cca.final(x, y, lambda, covI = T)
|
Arguments
x, y: |
data matrix |
lambda: |
thresholding parameter |
covI: |
If ture, using identity matrix for cov(x) and cov(y). |
Value
estimated coefficients and correlation
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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