logLik.mpt: Log-Likelihood of an mpt Object

In mpt: Multinomial Processing Tree Models

Log-Likelihood of an mpt Object

Description

Returns the log-likelihood value of the (joint) multinomial processing tree model represented by object evaluated at the estimated parameters.

Usage

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

Arguments

object	an object inheriting from class mpt, representing a fitted multinomial processing tree model.
...	some methods for this generic require additional arguments. None are used in this method.

Value

The log-likelihood of the model represented by object evaluated at the estimated parameters.

See Also

mpt, logLik.lm, AIC, deviance, nobs.

Examples

m <- mpt(mptspec("SR2"), c(243, 64, 58, 55))  # from Riefer et al. (2002)
logLik(m)
deviance(m)
AIC(m)
AIC(m, k = log(sum(m$y)))  # BIC w/total number of data points
BIC(m)                     # BIC using nobs()
nobs(m)                    # number of non-redundant response categories

mpt documentation built on Oct. 11, 2024, 5:07 p.m.