Make the 'quadratic' the default for 'confint'

Also the documentation was improved here and there

1 files changed, 7 insertions, 1 deletions

diff --git a/R/AIC.mmkin.R b/R/AIC.mmkin.R
index 7d405c4a..f1a66998 100644
--- a/R/AIC.mmkin.R
+++ b/R/AIC.mmkin.R
@@ -17,15 +17,21 @@
 #'   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"])
 #'   }
 #'
 #' @export