ols_mallows_cp: Mallow's Cp

In olsrr: Tools for Building OLS Regression Models

Mallow's Cp

Description

Mallow's Cp.

Usage

ols_mallows_cp(model, fullmodel)

Arguments

model	An object of class lm.
fullmodel	An object of class lm.

Details

Mallows' Cp statistic estimates the size of the bias that is introduced into the predicted responses by having an underspecified model. Use Mallows' Cp to choose between multiple regression models. Look for models where Mallows' Cp is small and close to the number of predictors in the model plus the constant (p).

Value

Mallow's Cp of the model.

References

Hocking, R. R. (1976). “The Analysis and Selection of Variables in a Linear Regression.” Biometrics 32:1–50.

Mallows, C. L. (1973). “Some Comments on Cp.” Technometrics 15:661–675.

See Also

Other model selection criteria: ols_aic(), ols_apc(), ols_fpe(), ols_hsp(), ols_msep(), ols_sbc(), ols_sbic()

Examples

full_model <- lm(mpg ~ ., data = mtcars)
model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars)
ols_mallows_cp(model, full_model)

olsrr documentation built on May 29, 2024, 12:35 p.m.