lm.select: AIC, AICc, BIC, Mallow's Cp, and PRESS evaluation of linear...

In asbio: A Collection of Statistical Tools for Biologists

AIC, AICc, BIC, Mallow's Cp, and PRESS evaluation of linear models

Description

The function provide model selection summaries using AIC, AICc, BIC, Mallow's C_p, and PRESS for a list of objects of class lm

Usage

lm.select(lms, deltaAIC = FALSE)

Arguments

lms	A list containing linear models.
deltaAIC	Logical; Should a \Delta AIC summary be given with relative likelihoods and Akaike weights?

Note

Mallow's C_p assumes that all models are nested within the first model in the argument lms. Non-nesting will produce a warning message.

Author(s)

Ken Aho

See Also

AIC, press

Examples

Y <- rnorm(100)
X1 <- rnorm(100)
X2 <- rnorm(100)

lms <- list(lm(Y ~ X1), lm(Y ~ X1 + X2))
lm.select(lms)

asbio documentation built on May 29, 2024, 5:57 a.m.