`survmaximin_fed.Rd`

Generate federate-learning coefficients

survmaximin_fed(B_all, Sigma_all, delta = 0)

B_all | A p (number of variables) * L (number of sites) numeric matrix. |
---|---|

Sigma_all | A list containing the data covariance matrix for each site. |

delta | Default 0; the ridge penalty parameter. |

A list with each element as below, being the estimated results for each site:

`beta.est` | Estimated beta coefficients for the target site. |

`weight` | A vector containing trained weights for each source site. |