get_deltaAIC_pairwise_w_ref_model: Calculate deltaAIC
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

Calculate deltaAIC (Akaike Information Criterion), the absolute difference between the best model (lowest AIC) and other models. This function does it pairwise only, with a reference model.

1 2	get_deltaAIC_pairwise_w_ref_model(AICvals, ref_model = "best")

`AICvals`	A vector of AIC values.
`ref_model`	What is the row of the reference model? "best", "worst", or a row number.

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

deltaAICs_pairwise A 2-column data.frame of pairwise deltaAICs for each row (column 1) and the reference model (column 2).

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_deltaAIC, rel_likes_from_deltaAICs, getAIC

test=1

AICvals = c(40, 50, 60)
get_deltaAIC(AICvals)
get_deltaAIC_pairwise_w_ref_model(AICvals, ref_model="best")

Loading required package: rexpokit
Loading required package: cladoRcpp
Loading required package: ape
Loading required package: phylobase

Attaching package: 'phylobase'

The following object is masked from 'package:ape':

    edges

[1]  0 10 20
  deltaAIC_row deltaAIC_ref
1            0            0
2           10            0
3           20            0