flexFitR (version 1.2.2)

anova.modeler: Extra Sum-of-Squares F-Test for modeler objects

Description

Perform an extra sum-of-squares F-test to compare two nested models of class modeler. This test assesses whether the additional parameters in the full model significantly improve the fit compared to the reduced model.

Usage

# S3 method for modeler
anova(object, full_model = NULL, ...)

Value

A tibble containing columns with the F-statistic and corresponding p-values, indicating whether the full model provides a significantly better fit than the reduced model.

Arguments

object

An object of class modeler representing the reduced model with fewer parameters.

full_model

An optional object of class modeler representing the full model with more parameters.

...

Additional parameters for future functionality.

Author

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))
plot(mo_1)
mo_2 <- modeler(dt, X, Y, fn = "fn_quad", param = c(a = 1, b = 10, c = 5))
plot(mo_2)
anova(mo_1, mo_2)