Description Usage Arguments Details Value
Calculates SSE, AIC, BIC, r2, mean absolute error, and maximum absolute error for WSE-w fits.
1 |
model |
a model fit like the result of lm |
type |
type of fit (if sb or nlsb, then the implementation has to change) |
Calculates goodness-of-fit metrics for a model with respect to the fitted values. R2 is not defined for nonlinear models, but it can be computed for a piecewise linear model Piecewise AIC and BIC are computed by summing the AIC, BIC values of the original models. I am like 90
gof data frame containing SSE, AIC, BIC, r2, MAE (mean absolute error), and mAE (maximum absolute error)
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