Multivariate Cluster Elastic Net

beta_adjust | Adjusts the value of the coefficients to account for the... |

beta_adjust_bin | Adjusts the value of the binomial coefficients to account for... |

bin_horse | The workhorse function for the binomial updates in mcen. It... |

CalcHorseBin | Creates the the working response for all responses for glmnet... |

CalcHorseEBin | Creates the probabilities and working response for the glmnet... |

cluster | Wrapper function for different clustering methods |

cluster.vals | Returns the cluster values from a cv.mcen object. |

coef.cv.mcen | Returns the coefficients from the cv.mcen object with the... |

coef.mcen | Returns the coefficients from an mcen object. |

cv.mcen | Cross validation for mcen function |

get_best_cvm | Gets the index position for the model with the smallest... |

matrix_multiply | matrix multiply |

mcen | Fits an MCEN model |

mcen_bin_workhorse | Calculates cluster assignment and coefficient estimates for a... |

mcen.init | Provides initial estimates for the mcen functionF |

mcen_workhorse | Estimates the clusters and provides the coefficients for an... |

pred_eval | Calculates the out of sample likelihood for an mcen object |

pred_eval.mbinom_mcen | Evaluates prediction error for multiple binomial responses. |

pred_eval.mgauss_mcen | Calculates the prediction error for a mgauss_mcen object. |

predict.cv.mcen | Makes predictions from the model with the smallest... |

predict.mcen | predictions from a mcen model |

print.cv.mcen | Prints nice output for a cv.mcen object. |

print.mcen | Prints nice output for an mcen object. |

randomly_assign | randomly assign n samples to k groups |

SetEq | SetEq test set equivalence of two clustering sets |

squared_error | Calculates sum of squared error between two vectors or... |

vl_binom | Calculates out of sample error on the binomial likelihood |

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