AICc {qpcR} | R Documentation |
Calculates the second-order (corrected) Akaike information criterion for 'drc' objects. This is a modified version of the original AIC which compensates for bias with small n. As qPCR data usually has n/par < 40 (see original reference), AICc was implemented to correct for this.
AICc(object)
object |
an object of class 'drc'. |
Extends the AIC such that AICc = AIC+frac{2k(k + 1)}{n - k - 1}, with k = number of parameters + 1, and n = number of observations. For large n, AICc converges to AIC.
The second-order AIC value.
Andrej-Nikolai Spiess
Sakamoto, Y., Ishiguro, M., and Kitagawa G. (1986). Akaike Information Criterion Statistics. D. Reidel Publishing Company.
Hurvich CM & Tsai CL (1989) Regression and Time Series Model Selection in Small Samples Biometrika 76, 297-307.
m <- multdrc(F1.1 ~ Cycles, data = reps, fct = l5()) AICc(m)