1 files changed, 7 insertions, 1 deletions
diff --git a/man/AIC.mmkin.Rd b/man/AIC.mmkin.Rd
index a49b69b8..a10d0aeb 100644
--- a/man/AIC.mmkin.Rd
+++ b/man/AIC.mmkin.Rd
@@ -31,15 +31,21 @@ same dataset.
   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
+  # We get a warning because the FOMC model does not converge for the
+  # FOCUS A dataset, as it is well described by SFO
+
+  AIC(f["SFO", "FOCUS A"]) # We get a single number for a single fit
+  AIC(f[["SFO", "FOCUS A"]]) # or when extracting an mkinfit object
 
   # 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
+  BIC(f[, "FOCUS A"])        # Comparing the BIC gives a very similar picture
 
   # For FOCUS C, the more complex models fit better
   AIC(f[, "FOCUS C"])
+  BIC(f[, "FOCUS C"])
   }
 
 }