summary.lme {nlme} | R Documentation |

Additional information about the linear mixed-effects fit represented
by `object`

is extracted and included as components of
`object`

. The returned object is suitable for printing with the
`print.summary.lme`

method.

## S3 method for class 'lme': summary(object, adjustSigma, verbose, ...)

`object` |
an object inheriting from class `lme` , representing
a fitted linear mixed-effects model. |

`adjustSigma` |
an optional logical value. If `TRUE` and the
estimation method used to obtain `object` was maximum
likelihood, the residual standard error is multiplied by
sqrt(nobs/(nobs - npar)),
converting it to a REML-like estimate. This argument is only used
when a single fitted object is passed to the function. Default is
`TRUE` . |

`verbose` |
an optional logical value used to control the amount of
output in the `print.summary.lme` method. Defaults to
`FALSE` . |

`...` |
some methods for this generic require additional arguments. None are used in this method. |

an object inheriting from class `summary.lme`

with all components
included in `object`

(see `lmeObject`

for a full
description of the components) plus the following components:

`corFixed` |
approximate correlation matrix for the fixed effects estimates |

`tTable` |
a data frame with columns `Value` ,
`Std. Error` , `DF` , `t-value` , and `p-value` representing
respectively the fixed effects estimates, their approximate standard
errors, the denominator degrees of freedom, the ratios between the
estimates and their standard errors,
and the associated p-value from a t distribution. Rows
correspond to the different fixed effects. |

`residuals` |
if more than five observations are used in the
`lme` fit, a vector with the minimum, first quartile, median, third
quartile, and maximum of the innermost grouping level residuals
distribution; else the innermost grouping level residuals. |

`AIC` |
the Akaike Information Criterion corresponding to
`object` . |

`BIC` |
the Bayesian Information Criterion corresponding to
`object` . |

Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu

`lme`

, `AIC`

, `BIC`

,
`print.summary.lme`

fm1 <- lme(distance ~ age, Orthodont, random = ~ age | Subject) summary(fm1)

[Package *nlme* version 3.1-66 Index]