modelFitStat | R Documentation |
Fit Model Statistics with least square or likelihood method to return an information criteria value
modelFitStat(ic, fit, method = c("LeastSquare", "Likelihood"), cox = FALSE)
ic |
Information criteria, including AIC, AICc, BIC, CP, HQ, HQc, Rsq, adjRsq and SBC |
fit |
Object of linear model or general linear model |
method |
Method to calculate information criteria value, including 'LeastSquare' and 'Likelihood' |
cox |
Compute model fit statistics for cox regression or not, where partial likelihood value will be used instead of the ordinary. |
Junhui Li
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data(mtcars) fit <- lm(mpg~wt+qsec+vs+am+gear+carb,data=mtcars) modelFitStat("AIC",fit,"LeastSquare")
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