# get_Akaike_weights_from_rel_likes_pairwise: Calculate the Akaike Weights, from the relative likelihoods... In BioGeoBEARS: BioGeography with Bayesian (and Likelihood) Evolutionary Analysis in R Scripts

## Description

Given the relative likelihoods of the models, calculate the Akaike weight of the models. Akaike weights sum to 1.

## Usage

 `1` ``` get_Akaike_weights_from_rel_likes_pairwise(rel_likes_AIC_pairwise) ```

## Arguments

 `rel_likes_AIC_pairwise` A 2-column `data.frame` of relative likelihoods of each pair of models.

## Details

See Burnham et al. (2002) and http://www.brianomeara.info/tutorials/aic for discussion of AIC and its uses.

## Value

`Akaike_weights_pairwise` A `data.frame` of Akaike Weights for each row (column 1) and the reference model (column 2). Note that only 2 models are being compared in each row, not all of them, as in `get_Akaike_weights_from_rel_likes`.

Go BEARS!

## Author(s)

Nicholas J. Matzke matzke@berkeley.edu

## References

Burnham_Anderson_2002

Matzke_2012_IBS

`get_Akaike_weights_from_rel_likes`, `rel_likes_from_deltaAICs`, `getAIC`
 ``` 1 2 3 4 5 6 7 8 9 10 11``` ```test=1 AICvals = c(40, 50, 60) deltaAICs = get_deltaAIC_pairwise_w_ref_model(AICvals, ref_model="best") deltaAICs rel_likes_AIC_pairwise = rel_likes_from_deltaAICs_pairwise(deltaAICs) rel_likes_AIC_pairwise Akaike_weights_pairwise = get_Akaike_weights_from_rel_likes_pairwise(rel_likes_AIC_pairwise) Akaike_weights_pairwise ```