Get the ratio between the pairwise Akaike Weights

Description

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

Usage

1

Arguments

Akaike_weights_pairwise

A 2-column data.frame of Akaike Weights for 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_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.

Note

Go BEARS!

Author(s)

Nicholas J. Matzke matzke@berkeley.edu

References

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

Burnham_Anderson_2002

Matzke_2012_IBS

See Also

get_Akaike_weights_from_rel_likes_pairwise, get_Akaike_weights_from_rel_likes, rel_likes_from_deltaAICs, getAIC

Examples

 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

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.