summary.glmm | R Documentation |

"summary" method for class `glmm`

objects.

## S3 method for class 'glmm' summary(object, ...) ## S3 method for class 'summary.glmm' print(x, digits = max(3, getOption("digits") - 3), signif.stars = getOption("show.signif.stars"), ...)

`object` |
an object of class |

`x` |
an object of class |

`digits` |
the number of significant digits to use when printing. |

`signif.stars` |
logical. If |

`...` |
further arguments passed to or from other methods. |

The function `summary.glmm`

computes and returns a list of summary statistics of the fitted generalized linear mixed model given in `object`

, using the components (list elements) `"call"`

and `"terms"`

from its argument, plus

`coefficients` |
a matrix for the fixed effects. The matrix has columns for the estimated coefficient, its standard error, t-statistic and corresponding (two-sided) p-value. |

`nucoefmat` |
a matrix with columns for the variance components. The matrix has columns for the estimated variance component, its standard error, t-statistic and corresponding (one-sided) p-value. |

`x` |
the design matrix for the fixed effects. |

`z` |
the design matrix for the random effects. |

`y` |
the response vector. |

`fixedcall` |
the call for the fixed effects. |

`randcall` |
the call for the random effects. |

`family.mcml` |
the family used to fit the model. |

`call` |
the call to |

`link` |
the canonical link function. |

Christina Knudson

The model fitting function `glmm`

, the generic `summary`

, and the function `coef`

that extracts the fixed effect coefficients.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.