logLik.mocca: Log-likelihood for a functional clustering model

In fdaMocca: Model-Based Clustering for Functional Data with Covariates

Log-likelihood for a functional clustering model

Description

Function to extract the log-likelihood for a fitted functional clustering mocca model (fitted by mixture likelihood maximization).

Note: estimate.mocca uses loglik.EMmocca() for calculating the log likelihood at each iterative step.

Usage

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

Arguments

object	fitted model objects of class mocca as produced by mocca().
...	unused in this case

Value

The log-likehood value as logLik object.

Author(s)

Per Arnqvist

References

Arnqvist, P., and Sjöstedt de Luna, S. (2019). Model based functional clustering of varved lake sediments. arXiv preprint arXiv:1904.10265.

See Also

estimate.mocca, mocca

fdaMocca documentation built on April 4, 2025, 1:02 a.m.