goodness_of_fit: Akaike's An Information Criterion for an object of class...

In flexFitR: Flexible Non-Linear Least Square Model Fitting

Akaike's An Information Criterion for an object of class modeler

Description

Generic function calculating Akaike's ‘An Information Criterion’ for fitted model object of class modeler.

Usage

## S3 method for class 'modeler'
AIC(object, ..., k = 2)

## S3 method for class 'modeler'
BIC(object, ...)

Arguments

object	An object inheriting from class modeler resulting of executing the function modeler()
...	Further parameters. For future improvements.
k	Numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC.

Value

A tibble with columns giving the corresponding AIC and BIC.

Author(s)

Johan Aparicio [aut]

Examples

library(flexFitR)
dt <- data.frame(X = 1:6, Y = c(12, 16, 44, 50, 95, 100))
mo_1 <- modeler(dt, X, Y, fn = "fn_lin", param = c(m = 10, b = -5))
mo_2 <- modeler(dt, X, Y, fn = "fn_quad", param = c(a = 1, b = 10, c = 5))
AIC(mo_1)
AIC(mo_2)
BIC(mo_1)
BIC(mo_2)

flexFitR documentation built on April 16, 2025, 5:09 p.m.