AkaikeWeights_and_Ratios_pairwise_on_summary_table_compared_to_ref: Get the ratio between the pairwise Akaike Weights

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

Description

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

Usage

  AkaikeWeights_and_Ratios_pairwise_on_summary_table_compared_to_ref(restable,
    colname_to_use = "AIC", ref_model = "best",
    add_to_table = TRUE)

Arguments

restable	A data.frame with at least columns named "LnL" and "nparams".
colname_to_use	The name of the column containing AIC values.
ref_model	What is the row of the reference model? "best", "worst", or a row number.
add_to_table	If TRUE, add to the main table and return the main table. If FALSE, return just the Akaike Weights results.

Details

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

Value

restable, the modified table, or AICstats_pairwise, the pairwise Akaike statistics.

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

get_Akaike_weights_from_rel_likes_pairwise, get_Akaike_weights_from_rel_likes, rel_likes_from_deltaAICs, getAIC

Examples

test=1

tmptable = adf(c(40, 50, 60))
names(tmptable) = "AIC"
AkaikeWeights_and_Ratios_pairwise_on_summary_table_compared_to_ref(
restable=tmptable, colname_to_use="AIC", ref_model="best", add_to_table=TRUE)

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