Description Usage Arguments Details Value See Also Examples

fit univariate log-linear model using accelerated block-coordinate relaxation algorithm.

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`formula` |
a symbolic description of the model to be fit. |

`data` |
an optional data frame containing the variables in the
model. By default the variables are taken from the
environment from which |

`family` |
a GLM family, currently suport gaussian and binomial. |

`lambda` |
a user specified tuning sequece. Typical usage is to have the
program compute its own |

`nlambda` |
the number of |

`lambda.min.ratio` |
Smallest value for |

`output` |
with values 0 or 1, indicating whether the fitting process is muted or not. |

`tune` |
tuning approach, available methods including AIC, BIC, GACV, BGACV. |

The `unilps`

utilize the class structure of the underlying C++
code and fitted the model with accelerated block-coordinate relaxation algorithm.

An object of classes `mvbfit`

and `lps`

, for which some methods are
available.

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