From bc3825ae2d12c18ea3d3caf17eb23c93fef180b8 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 8 Oct 2020 09:31:35 +0200 Subject: Fix issues for release --- docs/dev/reference/AIC.mmkin.html | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) (limited to 'docs/dev/reference/AIC.mmkin.html') diff --git a/docs/dev/reference/AIC.mmkin.html b/docs/dev/reference/AIC.mmkin.html index 517aff12..a1418b82 100644 --- a/docs/dev/reference/AIC.mmkin.html +++ b/docs/dev/reference/AIC.mmkin.html @@ -73,7 +73,7 @@ same dataset." /> mkin - 0.9.50.3 + 0.9.50.3 @@ -192,13 +192,13 @@ dataframe if there are several fits in the column).

# of parameters, the higher (worse) the AIC AIC(f[, "FOCUS A"])
#> df AIC #> SFO 3 55.28197 -#> FOMC 4 57.28202 +#> FOMC 4 57.28211 #> DFOP 5 59.28197
AIC(f[, "FOCUS A"], k = 0) # If we do not penalize additional parameters, we get nearly the same
#> df AIC #> SFO 3 49.28197 -#> FOMC 4 49.28202 +#> FOMC 4 49.28211 #> DFOP 5 49.28197
BIC(f[, "FOCUS A"]) # Comparing the BIC gives a very similar picture
#> df BIC #> SFO 3 55.52030 -#> FOMC 4 57.59979 +#> FOMC 4 57.59987 #> DFOP 5 59.67918
# For FOCUS C, the more complex models fit better AIC(f[, "FOCUS C"])
#> df AIC -- cgit v1.2.1