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`, `logLik.lme`

[Package nlme version 3.1-86 Index]