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

Approximate confidence intervals for the parameters in the linear
mixed-effects model represented by `object`

are obtained, using
a normal approximation to the distribution of the (restricted)
maximum likelihood estimators (the estimators are assumed to have a
normal distribution centered at the true parameter values and with
covariance matrix equal to the negative inverse Hessian matrix of the
(restricted) log-likelihood evaluated at the estimated parameters).
Confidence intervals are obtained in an unconstrained scale first,
using the normal approximation, and, if necessary, transformed to the
constrained scale. The `pdNatural`

parametrization is used for
general positive-definite matrices.

1 2 3 |

`object` |
an object inheriting from class |

`level` |
an optional numeric value with the confidence level for the intervals. Defaults to 0.95. |

`which` |
an optional character string specifying the subset
of parameters for which to construct the confidence
intervals. Possible values are |

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

a list with components given by data frames with rows corresponding to
parameters and columns `lower`

, `est.`

, and `upper`

representing respectively lower confidence limits, the estimated
values, and upper confidence limits for the parameters. Possible
components are:

`fixed` |
fixed effects, only present when |

`reStruct` |
random effects variance-covariance parameters, only
present when |

`corStruct` |
within-group correlation parameters, only
present when |

`varFunc` |
within-group variance function parameters, only
present when |

`sigma` |
within-group standard deviation. |

José Pinheiro and Douglas Bates [email protected]

Pinheiro, J.C., and Bates, D.M. (2000) "Mixed-Effects Models in S and S-PLUS", Springer.

`lme`

, `intervals`

,
`print.intervals.lme`

,
`pdNatural`

1 2 |

```
Approximate 95% confidence intervals
Fixed effects:
lower est. upper
(Intercept) 15.2183224 16.7611111 18.3038999
age 0.5183867 0.6601852 0.8019837
attr(,"label")
[1] "Fixed effects:"
Random Effects:
Level: Subject
lower est. upper
sd((Intercept)) 0.9463689 2.3270341 5.7219626
sd(age) 0.1023206 0.2264278 0.5010679
cor((Intercept),age) -0.9385866 -0.6093329 0.3007315
Within-group standard error:
lower est. upper
1.084697 1.310040 1.582197
```

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