Description Usage Arguments Value
Prediction for Hierarchical Shared Lasso
1 2 3 4 5 6 7 8 9 10 11 |
object |
fitted vennLasso object |
newx |
new matrix for predictions |
group.mat |
A matrix of the group memberships for now. Ignore the rest: A list of length equal to the number of groups containing vectors of integers indicating the variable IDs for each group. For example, groups=list(c(1,2), c(2,3), c(3,4,5)) specifies that Group 1 contains variables 1 and 2, Group 2 contains variables 2 and 3, and Group 3 contains variables 3, 4, and 5. Can also be a matrix of 0s and 1s with the number of columns equal to the number of groups and the number of rows equal to the number of variables. A value of 1 in row i and column j indicates that variable i is in group j and 0 indicates that variable i is not in group j. |
s |
lambda value for the predictions. defaults to all values computed in the vennLasso object |
use.refit |
Should the refitted beta estimates be used for prediction? Defaults to FALSE. If TRUE then the beta estimates from the model refit on just the selected covariates are used |
type |
type of predictions to be made. |
... |
parameters to be passed to vennLasso |
predictions or coefficients
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