Description Usage Arguments Value

Prediction for Hierarchical Shared Lasso

1 2 3 4 |

`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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