From a9427a09abdf7ce9aaeae7c7190f90c8f2e5ef52 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Mon, 15 Feb 2021 14:08:13 +0100 Subject: Improve README, introductory vignette and some other docs Also bump version to 1.0.3. --- docs/reference/AIC.mmkin.html | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) (limited to 'docs/reference/AIC.mmkin.html') diff --git a/docs/reference/AIC.mmkin.html b/docs/reference/AIC.mmkin.html index f54fd70f..fbc90802 100644 --- a/docs/reference/AIC.mmkin.html +++ b/docs/reference/AIC.mmkin.html @@ -73,7 +73,7 @@ same dataset." /> mkin - 1.0.0 + 1.0.3 @@ -187,8 +187,7 @@ dataframe if there are several fits in the column).

f <- mmkin(c("SFO", "FOMC", "DFOP"), list("FOCUS A" = FOCUS_2006_A, "FOCUS C" = FOCUS_2006_C), cores = 1, quiet = TRUE) -
#> Warning: Optimisation did not converge: -#> false convergence (8)
# We get a warning because the FOMC model does not converge for the + # 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 @@ -199,15 +198,15 @@ dataframe if there are several fits in the column).

AIC(f[, "FOCUS A"])
#> df AIC #> SFO 3 55.28197 -#> FOMC 4 57.28211 +#> FOMC 4 57.28222 #> 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 49.28211 +#> FOMC 4 49.28222 #> DFOP 5 49.28197
BIC(f[, "FOCUS A"]) # Comparing the BIC gives a very similar picture
#> df BIC #> SFO 3 55.52030 -#> FOMC 4 57.59987 +#> FOMC 4 57.59999 #> DFOP 5 59.67918
# For FOCUS C, the more complex models fit better AIC(f[, "FOCUS C"]) -- cgit v1.2.1