getAIC: Calculate AIC

In BioGeoBEARS: BioGeography with Bayesian (and Likelihood) Evolutionary Analysis in R Scripts

Description

Calculate AIC (Akaike Information Criterion). Lower values of AIC indicate some combination of better fit to the data and more parsimony in the model (fewer free parameters).

Usage

  getAIC(LnL, numparams)

Arguments

LnL	The log-likelihood (typically negative, but may not be for continuous data).
numparams	The number of parameters for each model.

Details

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

Value

AICval A vector of AIC results.

Note

Go BEARS!

Author(s)

Nicholas J. Matzke [e-mail]

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

calc_AIC_column, calc_AIC_column

Examples

LnL = -34.5
numparams = 2
getAIC(LnL, numparams)

LnL = -20.9
numparams = 3
getAIC(LnL, numparams)

# It turns out to work on lists, also
LnL = c(-34.5, -20.9)
numparams = c(2, 3)
getAIC(LnL, numparams)

Example output

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] 73
[1] 47.8
[1] 73.0 47.8

BioGeoBEARS documentation built on May 29, 2017, 8:36 p.m.