Calculates the AIC for each of the computed models. Requires that
modelTurnover is run with
reuturnModel = TRUE.
The following formulas are used to compute the AIC and AICc (small sample size correction):
list with the model metrics (the given input) plus a matrix
named "AIC" with the AIC for each value
1 2 3 4 5 6 7 8 9 10 11 12
data('wormsPE') wormsPE <- calculateIsotopeFraction(wormsPE, ratioAssay = 'ratio') modelList <- modelTurnover(x = wormsPE[1:10], assayName = 'fraction', formula = 'fraction ~ 1 - exp(-k*t)', start = list(k = 0.02), mode = 'protein', robust = FALSE, returnModel = TRUE) modelList <- calculateAIC(modelList, smallSampleSize = TRUE)
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