# logLik.mpt

From mpt v0.6-2
by Florian Wickelmaier

##### Log-Likelihood of an mpt Object

Returns the log-likelihood value of the (joint) multinomial processing
tree model represented by `object`

evaluated at the estimated
parameters.

- Keywords
- models

##### Usage

```
# S3 method for 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

##### Examples

```
# NOT RUN {
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
# }
```

*Documentation reproduced from package mpt, version 0.6-2, License: GPL (>= 2)*

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