Description Usage Arguments Details Value Author(s) See Also Examples
Fit a bridge penalized maximum likelihood.
It is computed the regularization path which is consisted of lasso
or ridge
penalty
at the a grid values for lambda
1 2 |
X |
Design matrix. |
y |
Response vector. |
q |
is the degree of norm which includes ridge regression with |
lambda.min |
The smallest value for lambda if |
nlambda |
The number of lambda values - default is |
lambda |
A user supplied lambda sequence. By default, the program compute a squence of values the length of nlambda. |
eta |
is a preselected small positive threshold value. It is deleted |
converge |
is the value of converge. Defaults is |
Computes bridge estimation
An object of class rbridge, a list with entries
betas |
Coefficients computed over the path of lambda |
lambda |
The lambda values which is given at the function |
Bahadir Yuzbasi, Mohammad Arashi and Fikri Akdeniz
Maintainer: Bahadir Yuzbasi b.yzb@hotmail.com
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.