Description Usage Arguments Value Author(s) Examples

Computes a decreasing lambda sequence of length `d`

.
The sequence ranges from a data determined maximal lambda *λ_\textrm{max}* to the user inputed `lambda.min`

.

1 2 3 4 5 |

`x` |
design matrix, matrix of size |

`classes` |
classes, factor of length |

`sampleWeights` |
sample weights, a vector of length |

`grouping` |
grouping of features, a vector of length |

`groupWeights` |
the group weights, a vector of length
for all other weights. |

`parameterWeights` |
a matrix of size |

`alpha` |
the |

`d` |
the length of lambda sequence |

`standardize` |
if TRUE the features are standardize before fitting the model. The model parameters are returned in the original scale. |

`lambda.min` |
the smallest lambda value in the computed sequence. |

`intercept` |
should the model include intercept parameters |

`sparse.data` |
if TRUE |

`lambda.min.rel` |
is lambda.min relative to lambda.max ? (i.e. actual lambda min used is |

`algorithm.config` |
the algorithm configuration to be used. |

a vector of length `d`

containing the computed lambda sequence.

Martin Vincent

1 2 3 4 5 6 7 |

nielsrhansen/msgl documentation built on May 28, 2019, 11:05 a.m.

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.