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_weight_ratio_from_Akaike_pairwise_weights(Akaike_weights_pairwise)
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Akaike_weights_pairwise |
A 2-column
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See Burnham et al. (2002) and http://www.brianomeara.info/tutorials/aic for discussion of AIC and its uses.
Akaike_weight_ratios_pairwise
A
data.frame
of Akaike Weight Ratios
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.
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_pairwise
,
get_Akaike_weights_from_rel_likes
,
rel_likes_from_deltaAICs
,
getAIC
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | 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
Akaike_weight_ratios_pairwise = get_Akaike_weight_ratio_from_Akaike_pairwise_weights(
Akaike_weights_pairwise)
Akaike_weight_ratios_pairwise
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