elnet.cca.simu: Simulation for elastic net cca
In DongyueXie/scca: Sparse Canonical Correlation Analysis - Intergrated Methods
Description
Simulation for elastic net cca
Usage
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elnet.cca.simu(niter, u, v, n = 50, data.type = "normal", sigma_z = 1,
sigma_x = NULL, sigma_y = NULL, theta = 0.01, n_x = 1000,
n_y = 1000, lambda_z = 10, cv.method = "bic", alpha.u = c(0.6, 0.8,
1), alpha.v = c(0.6, 0.8, 1), K = 5, verbose = F)
Arguments
alpha.u, alpha.v:
The elasticnet mixing parameter, between 0 and 1.
DongyueXie/scca documentation built on May 29, 2019, 2:37 p.m.
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Description
Simulation for elastic net cca
Usage
1 2 3 4 | elnet.cca.simu(niter, u, v, n = 50, data.type = "normal", sigma_z = 1,
sigma_x = NULL, sigma_y = NULL, theta = 0.01, n_x = 1000,
n_y = 1000, lambda_z = 10, cv.method = "bic", alpha.u = c(0.6, 0.8,
1), alpha.v = c(0.6, 0.8, 1), K = 5, verbose = F)
|
Arguments
alpha.u, alpha.v: |
The elasticnet mixing parameter, between 0 and 1. |
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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