Simulation for gscca
1 2 3 4 5 6 | gscca.simu.normal(niter, edgex, edgey, u, v, n = 50, data.type = "normal",
sigma_z = 1, sigma_x = NULL, sigma_y = NULL, theta = 0.01,
lambda_z = 10, n_x = 1000, n_y = 1000, cv.method = "bic",
gamma.u = NULL, gamma.v = NULL, lambda.u = NULL, lambda.v = NULL,
maxsteps = 20, plain = T, Sx = NULL, Sy = NULL, verbose = F,
K = 5, ccor = F)
|
gamma.u, gamma.v: |
ratio of l1 peanlty and fused penalty |
lambda.u, lambda.v: |
fused penalty. lambda*fused penalty+gamma*lambda*l1 penalty. |
Sx, Sy: |
structure matrix for Sx,Sy. |
maxsteps: |
the number of lambdas to try, default to be 20. Largest 20 values from solution path |
ccor: |
whether re-estiamte the coeeficient when doing BIC |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.