logLik.lmm {LMMstar} | R Documentation |
Extract The Log-Likelihood From a Linear Mixed Model
Description
Extract or compute the log-likelihood of a linear mixed model.
Usage
## S3 method for class 'lmm'
logLik(object, newdata = NULL, p = NULL, indiv = FALSE, ...)
Arguments
object |
a |
newdata |
[data.frame] dataset relative to which the log-likelihood should be computed. Only relevant if differs from the dataset used to fit the model. |
p |
[numeric vector] value of the model coefficients at which to evaluate the log-likelihood. Only relevant if differs from the fitted values. |
indiv |
[logical] Should the contribution of each cluster to the log-likelihood be output? Otherwise output the sum of all clusters of the derivatives. |
... |
Not used. For compatibility with the generic method. |
Details
indiv: only relevant when using maximum likelihood. Must be FALSE
when using restricted maximum likelihood.
Value
A numeric value (total logLikelihood) or a vector of numeric values, one for each cluster (cluster specific logLikelihood).