Maximum penalized likelihood estimation with extended lasso penalty

bars | Error bars |

coef.extlasso | Extract coefficients from a fitted extlasso object |

cv.binomial | k-fold cross validation for penalized generalized linear... |

cv.extlasso | k-fold cross validation for penalized generalized linear... |

cv.normal | k-fold cross validation for penalized generalized linear... |

cv.poisson | k-fold cross validation for penalized generalized linear... |

extlasso | Entire regularization path of penalized generalized linear... |

extlasso.binomial | Entire regularization path of penalized generalized linear... |

extlasso.binom.lambda | Coefficients of penalized generalized linear models for a... |

extlasso.normal | Entire regularization path of penalized generalized linear... |

extlasso.norm.lambda | Coefficients of penalized generalized linear models for a... |

extlasso.pois.lambda | Coefficients of penalized generalized linear models for a... |

extlasso.poisson | Entire regularization path of penalized generalized linear... |

fl.lambda | Coefficients of fused lasso penalized regression for a given... |

fold | Particular fold of a data after k fold partition |

fusedlasso | Fused lasso penalized linear regression |

kfold | k-fold partition of data at random |

msefun.binomial | Deviances for hold out data in cross validation |

msefun.normal | Prediction means squared errors for hold out data in cross... |

msefun.poisson | Deviances for hold out data in cross validation |

plot.extlasso | Plot of regularization path |

predict.extlasso | Prediction of coefficients of a penalized linear regression... |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.