From 743507a7c84c2f56d10f87a479a15fc12d09bb9b Mon Sep 17 00:00:00 2001
From: andrewhooker ODE solution of PK model, mult
of describing the same model.
tic(); eval <- evaluate_design(poped.db); toc()
-#> Elapsed time: 2.812 seconds.
+#> Elapsed time: 2.759 seconds.
tic(); eval <- evaluate_design(poped.db.Rcpp); toc()
-#> Elapsed time: 1.346 seconds.
The difference is noticeable and gets larger for more complex ODE models.
@@ -1129,7 +1129,7 @@
ev <- evaluate_design(poped_db_2)
round(ev$ofv,1)
-#> [1] 42
+#> [1] 42.3
round(ev$rse)
We can see that the result, based on MC sampling, is somewhat variable with so few samples.
@@ -1968,7 +1968,7 @@#> 5.021700 2.980981 14.068646 29.765030 36.691675 26.754137 31.469425 #> SIGMA[2,2] #> 25.311870 -#> Elapsed time: 0.13 seconds.
We see that there are four distinct sample times for this design. @@ -518,7 +518,7 @@
Here we see that the optimization ran somewhat quicker, but gave a @@ -583,7 +583,7 @@
We see that the optimal doses are 31.6 and 55.2 for the two groups. This leads to population trough concentrations of 0.2 and 0.35 for the two groups of patients at 240 hours:
diff --git a/pkgdown.yml b/pkgdown.yml index d6f8d5b..c98124c 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -6,7 +6,7 @@ articles: model_def_other_pkgs: model_def_other_pkgs.html examples: examples.html intro-poped: intro-poped.html -last_built: 2023-11-16T13:16Z +last_built: 2023-11-16T13:23Z urls: reference: https://andrewhooker.github.io/PopED/reference article: https://andrewhooker.github.io/PopED/articles diff --git a/reference/Doptim.html b/reference/Doptim.html index dd1b7a6..fd847d0 100644 --- a/reference/Doptim.html +++ b/reference/Doptim.html @@ -352,7 +352,7 @@