Description Usage Arguments Details Value References See Also Examples

Fit a GLMM model with multivariate normal random effects, using Penalized Quasi-Likelihood.

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`fixed` |
a two-sided linear formula giving fixed-effects part of the model. |

`random` |
a formula or list of formulae describing the random effects. |

`family` |
a GLM family. |

`data` |
an optional data frame used as the first place to find
variables in the formulae, |

`correlation` |
an optional correlation structure. |

`weights` |
optional case weights as in |

`control` |
an optional argument to be passed to |

`niter` |
maximum number of iterations. |

`verbose` |
logical: print out record of iterations? |

`...` |
Further arguments for |

`glmmPQL`

works by repeated calls to `lme`

, so
package `nlme`

will be loaded at first use if necessary.

A object of class `"lme"`

: see `lmeObject`

.

Schall, R. (1991) Estimation in generalized linear models with
random effects.
*Biometrika*
**78**, 719–727.

Breslow, N. E. and Clayton, D. G. (1993) Approximate inference in
generalized linear mixed models.
*Journal of the American Statistical Association*
**88**, 9–25.

Wolfinger, R. and O'Connell, M. (1993) Generalized linear mixed models: a
pseudo-likelihood approach.
*Journal of Statistical Computation and Simulation*
**48**, 233–243.

Venables, W. N. and Ripley, B. D. (2002)
*Modern Applied Statistics with S.* Fourth edition. Springer.

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MASS documentation built on May 19, 2017, 5:29 p.m.

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