diff options
Diffstat (limited to 'R/AIC.mmkin.R')
| -rw-r--r-- | R/AIC.mmkin.R | 8 |
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 |