Description Usage Arguments Details Value Author(s) References See Also Examples

Calculate the relative log-likehood between two models.

1 |

`x,y` |
Fitted model objects for which there exists a |

`method` |
Whether to base the comparison on |

`ndigits` |
An integer denoting the number of decimal digits in the output. |

`...` |
Further arguments to pass to |

The relative log-likelihood is calculated as `exp((abs(AIC(x) - AIC(y)))/2)`

or `exp((abs(BIC(x) - BIC(y)))/2)`

, depending on the method.

You can find information regarding differences between AIC and BIC from `http://methodology.psu.edu/eresources/ask/sp07`

.

A vector with values:

`AIC(x), BIC(x) ` |
The |

`AIC(y), BIC(y) ` |
The |

`relLik ` |
The relative likelihood between the two models. Model |

Antoine Tremblay, Statistics Canada, trea26@gmail.com

On AIC and relative log-likelihood (which they call evidence ratio):

Symonds, M.R.E and Moussalli, A. (2011). *A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion.* *Behavioral Ecology and Sociobiology*, 65, 13–21. doi: 10.1007/s00265-010-1037-6

1 | ```
# see example in LMERConvenienceFunctions help page.
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.