Description Usage Arguments Details Value See Also Examples

fit univariate log-linear model using Newton-Raphson 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 support gaussian and binomial. |

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

The `unifit`

utilize the class structure of the underlying C++
code and fitted the model with Newton-Raphson algorithm.

An object of class `mvbfit`

, for which some methods are
available.

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