logLik.manylm: Calculate the Log Likelihood

In mvabund: Statistical Methods for Analysing Multivariate Abundance Data

Calculate the Log Likelihood

Description

Calculate the log likelihood of a multivariate linear model.

Usage

## S3 method for class 'manylm'
logLik(object, REML = FALSE, ...)

Arguments

object	a manylm object from which a log-likelihood value should be extracted.
...	some methods for this function require additional arguments.
REML	an optional logical value. If TRUE the restricted log-likelihood is returned, else, if FALSE, the log-likelihood is returned. Defaults to FALSE.

Details

It is assumed that the scale has been estimated (by maximum likelihood or REML), and all the constants in the log-likelihood are included.

Value

Returns an object, say r, of class logLik which is a number with attributes, attr(r, "df") (degrees of freedom) giving the number of (estimated) parameters in the model.

Examples

data(spider)
spiddat <- mvabund(spider$abund)
lm.spider <- manylm(spiddat~., data=spider$x)
logLik(lm.spider)

mvabund documentation built on March 18, 2022, 7:25 p.m.