ols.infocrit function

Calculate Common Information Criteria

Calculates three common information criteria of models estimated by ols().

ols.infocrit(mod, which = "all", scaled = FALSE)

Arguments

• mod: linear model object generated by ols().
• which: string value specifying the type of criterion: "aic" (Akaike Information Criterion), "sic" (Schwarz Information Criterion), or "pc", (Prognostic Criterion), optional, if omitted then all criteria are returned ("all").
• scaled: logical value which indicates whether criteria should be scaled by the number of observations T.

Returns

A data frame of AIC, SIC, and PC values.

Examples

wage.est <- ols(wage ~ educ + age, data = data.wage)
ols.infocrit(wage.est) # Return all criteria unscaled
ols.infocrit(wage.est, scaled = TRUE) # Return all criteria scaled
ols.infocrit(wage.est, which = "pc") # Return Prognostic Criterion unscaled