Friedman's Boosting Algorithm for Regularized Linear Regression

coef.l2boost | Extract model coefficients from an l2boost model object at... |

cv.l2boost | K-fold cross-validation using 'l2boost'. |

diabetes | Blood and other measurements in diabetics [Hastie and Efron... |

elasticNetSim | A blocked correlated data simulation. |

error.bars | nice standard errors for plots |

fitted.l2boost | Extract the fitted model estimates along the solution path... |

l2boost | Generic gradient descent boosting method for linear... |

l2boost-package | Efficient implementation of Friedman's boosting algorithm for... |

mvnorm.l2boost | multivariate normal data simulations. |

plot.l2boost | Plotting for 'l2boost' objects. |

plot.lines | plots.lines is used by 'plot.l2boost' to the path lines (each... |

predict.l2boost | predict method for l2boost models. |

print.l2boost | print method for 'l2boost' and 'cv.l2boost' objects. |

print.summary.l2boost | Unimplemented generic function These are placeholders right... |

residuals.l2boost | Model residuals for the training set of an l2boost model... |

summary.l2boost | Unimplemented generic function These are placeholders right... |

VAR | This is a hidden function of the l2boost package. VAR is a... |

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.