Description Usage Arguments Value

These functions are exported and documented for use by other packages. They are not intended for end users.

1 2 3 4 | ```
mclogit.fit(y, s, w, X, start = NULL, offset = NULL, control = mclogit.control())
mclogit.fit.rePQL(y, s, w, X, Z, start = NULL, start.theta = NULL,
offset = NULL, control = mclogit.control())
``` |

`y` |
a response vector. Should be binary. |

`s` |
a vector identifying individuals or covariate strata |

`w` |
a vector with observation weights. |

`X` |
a model matrix; required. |

`Z` |
the random effects design matrix. |

`start` |
an optional numerical vector of starting values for the coefficients. |

`start.theta` |
an optional numerical vector of starting values for the variance parameters. |

`offset` |
an optional model offset. Currently only supported for models without random effects. |

`control` |
a list of parameters for the fitting process.
See |

A list with components describing the fitted model.

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