Created
February 24, 2017 19:55
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Akaike Information Criterion and Bayesian Information Criterion
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| lm_model <- lm(preds ~ ., data = data) | |
| my_AIC <- AIC(lm_model) | |
| my_AIC <- nrow(data) * (log(2 * pi) + 1 + log((sum(lm_model$residuals ^ 2) / nrow(data)))) + ((length(lm_model$coefficients) + 1) * 2) | |
| my_BIC <- AIC(lm_model, k = log(nrow(data))) | |
| my_BIC <- nrow(data) * (log(2 * pi) + 1 + log((sum(lm_model$residuals ^ 2) / nrow(data)))) + ((length(lm_model$coefficients) + 1) * log(nrow(data))) |
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