get.csuv.unique.fit | R Documentation |
Helper function, please do not use it
get.csuv.unique.fit( X, Y, intercept, method.names, B, fit.percent, current.fit = NULL, num.core = 1 )
X |
covariates (n times p matrix, n: number of entries, p: number of covariates) |
Y |
response (vector with n entries) |
intercept |
TRUE to fit the data with an intercept, FALSE to fit the data without an intercept |
method.names |
vector of method names to be used in CSUV. Choose among "lasso", "elastic", "relaxo", "mcp" and "scad". Default is to use all methods listed above |
B |
number of subsampling. Default is 100 |
fit.percent |
percentage of observations used in fitting in CSUV |
current.fit |
(optional) all fitted models |
num.core |
number of cores to use. Default is 1 (i.e. no parallel running) |
a list of current fit
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.