transCCA: Output transelliptical CCA directions and correlations
In blangworthy/transCCA: Estimation of transelliptical CCA
Description
Usage
Arguments
Value
Description
This takes two data sets and returns the transelliptical canonical directions and correlations
Usage
1
transCCA(x, y, ndir, eigenmin = 0.001)
Arguments
x
The first data matrix to be included in the calculation of the transformed Kendall scatter matrix
y
The second data matrix to be included in the calculation of the transformed Kendall scatter matrix
ndir
The number of canonical directions to estimate
eigenmin
The minimum eigenvalue when transforming matrix to be positive definite
Value
The estimate of transelliptical canonical correlations and directions
blangworthy/transCCA documentation built on Aug. 15, 2020, 7 a.m.
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Description Usage Arguments Value
Description
This takes two data sets and returns the transelliptical canonical directions and correlations
Usage
1 | transCCA(x, y, ndir, eigenmin = 0.001)
|
Arguments
x |
The first data matrix to be included in the calculation of the transformed Kendall scatter matrix |
y |
The second data matrix to be included in the calculation of the transformed Kendall scatter matrix |
ndir |
The number of canonical directions to estimate |
eigenmin |
The minimum eigenvalue when transforming matrix to be positive definite |
Value
The estimate of transelliptical canonical correlations and directions
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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