Mallow's Cp.

ols_mallows_cp(model, fullmodel)

Arguments

model

An object of class lm.

fullmodel

An object of class lm.

Value

Mallow's Cp of the model.

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).

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)
#> [1] 4.430434