From 194659fcaccdd1ee37851725b8c72e99daa3a8cf Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 10 Apr 2019 10:17:35 +0200 Subject: Adapt tests, vignettes and examples - Write the NEWS - Static documentation rebuilt by pkgdown - Adapt mkinerrmin - Fix (hopefully all) remaining problems in mkinfit --- docs/reference/AIC.mmkin.html | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) (limited to 'docs/reference/AIC.mmkin.html') diff --git a/docs/reference/AIC.mmkin.html b/docs/reference/AIC.mmkin.html index 1224fbe6..d5386145 100644 --- a/docs/reference/AIC.mmkin.html +++ b/docs/reference/AIC.mmkin.html @@ -64,7 +64,7 @@ mkin - 0.9.48.1 + 0.9.49.4 @@ -163,22 +163,22 @@

Examples

f <- mmkin(c("SFO", "FOMC", "DFOP"), list("FOCUS A" = FOCUS_2006_A, - "FOCUS C" = FOCUS_2006_C), cores = 1, quiet = TRUE)
#> Warning: Optimisation by method Port did not converge: -#> false convergence (8)
AIC(f[1, "FOCUS A"]) # We get a single number for a single fit
#> [1] 55.32452
+ "FOCUS C" = FOCUS_2006_C), cores = 1, quiet = TRUE)
#> Warning: Optimisation did not converge: +#> false convergence (8)
AIC(f[1, "FOCUS A"]) # We get a single number for a single fit
#> [1] 55.28197
# 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"])
#> df AIC -#> SFO 3 55.32452 -#> FOMC 4 57.32477 -#> DFOP 5 59.32452
AIC(f[, "FOCUS A"], k = 0) # If we do not penalize additional parameters, we get nearly the same
#> df AIC -#> SFO 3 49.32452 -#> FOMC 4 49.32477 -#> DFOP 5 49.32452
+#> SFO 3 55.28197 +#> FOMC 4 57.28198 +#> 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 49.28198 +#> DFOP 5 49.28197
# For FOCUS C, the more complex models fit better AIC(f[, "FOCUS C"])
#> df AIC -#> SFO 3 59.84675 -#> FOMC 4 44.70584 -#> DFOP 5 29.08369
+#> SFO 3 59.29336 +#> FOMC 4 44.68652 +#> DFOP 5 29.02372