calc_aicc: Calculates the bias-corrected (second-order) Akaike's...

In joshwlambert/relaxedDAISIE: Reproduce Relaxed-rate DAISIE Paper

Calculates the bias-corrected (second-order) Akaike's information criterion for a maximum likelihood output of the DAISIE model

Description

Calculates the bias-corrected (second-order) Akaike's information criterion for a maximum likelihood output of the DAISIE model

Usage

calc_aicc(results, daisie_data)

Arguments

results	The maximum likelihood parameter estimates and associated log likelihood and free parameters (degrees of freedom)
daisie_data	The data the DAISIE model was fit to

Value

A numeric

Examples

data("Comoros")
best_model <- choose_best_model(data_name = "Comoros", model = "cr_dd")
calc_aicc(results = best_model, daisie_data = Comoros)

joshwlambert/relaxedDAISIE documentation built on Nov. 23, 2023, 12:29 p.m.