| lambdaseq_generate {mixedCCA} | R Documentation |
This internal function generates lambda sequence of length nlamseq equally spaced on a logarithmic scale. Since this is for sparse CCA, it returns a list of two vectors. Each vector will be used for each data set X1 and X2. And w1 and w2 denote canonical vector for each data set.
lambdaseq_generate( nlamseq = 20, lam.eps = 0.01, Sigma1, Sigma2, Sigma12, w1init = NULL, w2init = NULL )
nlamseq |
The length of lambda sequence |
lam.eps |
The smallest value for lambda as a fraction of maximum lambda value |
Sigma1 |
Covariance/correlation matrix of X1 (p1 by p1) |
Sigma2 |
Covariance/correlation matrix of X2 (p2 by p2) |
Sigma12 |
Covariance/correlation matrix between X1 and X2 |
w1init |
Initial value for canonical vector w1 |
w2init |
Initial value for canonical vector w2 |
lambdaseq_generate returns a list of length 2. Each vector is of the same length nlamseq and will be used for each data set separately.