logLik.reStruct {nlme} | R Documentation |

## Calculate reStruct Log-Likelihood

### Description

Calculates the log-likelihood, or restricted log-likelihood, of the
Gaussian linear mixed-effects model represented by `object`

and
`conLin`

(assuming spherical within-group covariance structure),
evaluated at `coef(object)`

. The `settings`

attribute of
`object`

determines whether the log-likelihood, or the restricted
log-likelihood, is to be calculated. The computational methods are
described in Bates and Pinheiro (1998).

### Usage

## S3 method for class 'reStruct':
logLik(object, conLin, ...)

### Arguments

`object` |
an object inheriting from class `reStruct` ,
representing a random effects structure and consisting of a list of
`pdMat` objects. |

`conLin` |
a condensed linear model object, consisting of a list
with components `"Xy"` , corresponding to a regression matrix
(`X` ) combined with a response vector (`y` ), and
`"logLik"` , corresponding to the log-likelihood of the
underlying model. |

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

### Value

the log-likelihood, or restricted log-likelihood, of linear
mixed-effects model represented by `object`

and `conLin`

,
evaluated at `coef{object}`

.

### Author(s)

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

### References

Bates, D.M. and Pinheiro, J.C. (1998) "Computational methods for
multilevel models" available in PostScript or PDF formats at
http://franz.stat.wisc.edu/pub/NLME/

### See Also

`reStruct`

, `pdMat`

[Package

*nlme* version 3.1-66

Index]