logLik.clme: Log-likelihood

In CLME: Constrained Inference for Linear Mixed Effects Models

Description

Computes the log-likelihood of the fitted model for objects of class clme.

Usage

## S3 method for class 'clme'
logLik(object, ...)

## S3 method for class 'summary.clme'
logLik(object, ...)

Arguments

object	object of class clme.
...	space for additional arguments

Details

The log-likelihood is computed using the Normal distribution. The model uses residual bootstrap methodology, and Normality is neither required nor assumed. Therefore the log-likelihood may not be a useful measure in the context of CLME.

Value

Numeric.

See Also

CLME-package clme

logLik.clme

Examples

data( rat.blood )
cons <- list(order = "simple", decreasing = FALSE, node = 1 )
clme.out <- clme(mcv ~ time + temp + sex + (1|id), data = rat.blood , 
                 constraints = cons, seed = 42, nsim = 0)

logLik( clme.out )

CLME documentation built on July 8, 2020, 5:49 p.m.