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

View source: R/BioGeoBEARS_generics_v1.R

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

1	get_Akaike_weights_from_rel_likes_pairwise(rel_likes_AIC_pairwise)

rel_likes_AIC_pairwise

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

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

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!

Nicholas J. Matzke matzke@berkeley.edu

http://phylo.wikidot.com/matzke-2013-international-biogeography-society-poster http://www.brianomeara.info/tutorials/aic

Burnham_Anderson_2002

Matzke_2012_IBS

get_Akaike_weights_from_rel_likes, rel_likes_from_deltaAICs, getAIC

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