LarsPath-class | R Documentation |
This class stores the results of lars and fusion algorithms.
Number of steps of the algorithm.
List of vector of size "step+1". The i+1-th item contains the index of non-zero coefficients at the i-th step.
List of vector of size "step+1". The i+1-th item contains the non-zero coefficients at the i-th step.
Vector of length "step+1", containing the L1-norm of the coefficients at each step.
Vector of length "step+1", containing the lambda at each step.
Vector of length "step" containing the index of the dropped variable at the i-th step, 0 means no variable has been dropped at this step.
Vector of length "step" containing the index of the added variable at the i-th step, 0 means no variable has been added at this step.
Intercept.
Mean of columns of X.
A vector containing index of ignored variables during the algorithm.
Total number of covariates.
If TRUE, results from HDfusion function.
Error message from lars.
HDlars
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.