Description Usage Arguments Details Value Author(s) References See Also

Fits a log-linear model for collapsed contingency tables.

1 |

`y` |
Vector of observed cell frequencies. |

`s` |
Scatter matrix. s[i] is the cell in the observed array that corresponds to cell i in the full array. |

`X` |
Design matrix. |

`maxit` |
Maximum number of iterations. |

`tol` |
Convergence parameter. |

`E` |
Full contingency table. Should be initialized with either ones or a priori estimates. |

This is an implementation and extension of the algorithm published by Haber (1984). It also incorporates ideas of David Duffy (see references).

A priori estimates of the full contingency table can be given as
start values by argument `E`

. This can reduce
execution time significantly.

Estimated full contingency table.

Andreas Borg, Murat Sariyar

Michael Haber, Algorithm AS 207: Fitting a General Log-Linear Model, in: Applied Statistics 33 (1984) No. 3, 358–362.

David Duffy: gllm: Generalised log-linear model. R package version 0.31. https://cran.r-project.org/package=gllm

`emWeights`

, which makes use of log-linear fitting for
weight calculation.

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