AICgmyc: Calculate AIC values for GMYC objects
In spiderDev: Species Identity and Evolution in R--development

Description Usage Arguments Details Value Author(s) References See Also Examples

This function calculates AIC values, weights and model-weighted average number of entities inferred using GMYC.

1 2	AICgmyc(gmyc) AICweights(AIC)

`gmyc`	A ‘gmyc’ object created with `gmyc`.
`AIC`	A vector of AIC values for which weights are to be calculated.

AIC.gmyc implements equations 3 to 6 in Powell (2011).

AICweights is a generic function that calculates the weights for a given vector of AIC values.

A list with the following elements:

`AIC`	Numeric vector of AIC values.
`delta`	Numeric vector of the difference between each value and the minimum (best) AIC value.
`weight`	Numeric vector of AIC weights.
`mean_ent`	Model-averaged number of entities.
`var_ent`	Model-averaged number of entities.

AICweights does not return mean_ent or var_ent

Samuel Brown <s_d_j_brown@hotmail.com>

Powell, J. R. (2011). Accounting for uncertainty in species delineation during the analysis of environmental DNA sequence data. _Methods in Ecology and Evolution_.

gmyc

data(doloGMYC)
data(doloMultGMYC)

AICgmyc(doloGMYC)
AICgmyc(doloMultGMYC)

comb <- c(AICgmyc(doloGMYC)$AIC, AICgmyc(doloMultGMYC)$AIC)
AICweights(comb)