AIC.mmkin {mkin} | R Documentation |
Provides a convenient way to compare different kineti models fitted to the same dataset.
## S3 method for class 'mmkin' AIC(object, ..., k = 2)
object |
An object of class |
... |
For compatibility with the generic method |
k |
As in the generic method |
As in the generic method (a numeric value for single fits, or a dataframe if there are several fits in the column).
Johannes Ranke
f <- mmkin(c("SFO", "FOMC", "DFOP"), list("FOCUS A" = FOCUS_2006_A, "FOCUS C" = FOCUS_2006_C), cores = 1, quiet = TRUE) AIC(f[1, "FOCUS A"]) # We get a single number for a single fit # For FOCUS A, the models fit almost equally well, so the higher the number # of parameters, the higher (worse) the AIC AIC(f[, "FOCUS A"]) AIC(f[, "FOCUS A"], k = 0) # If we do not penalize additional parameters, we get nearly the same # For FOCUS C, the more complex models fit better AIC(f[, "FOCUS C"])