From 95178837d3f91e84837628446b5fd468179af2b9 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Tue, 4 Jun 2019 15:09:28 +0200 Subject: Additional algorithm "d_c", more tests, docs The new algorithm tries direct optimization of the likelihood, as well as a three step procedure. In this way, we consistently get the model with the highest likelihood for SFO, DFOP and HS for all 12 new test datasets. --- docs/reference/experimental_data_for_UBA.html | 223 ++++++++++++++++++++++++++ 1 file changed, 223 insertions(+) create mode 100644 docs/reference/experimental_data_for_UBA.html (limited to 'docs/reference/experimental_data_for_UBA.html') diff --git a/docs/reference/experimental_data_for_UBA.html b/docs/reference/experimental_data_for_UBA.html new file mode 100644 index 00000000..3e8d20ef --- /dev/null +++ b/docs/reference/experimental_data_for_UBA.html @@ -0,0 +1,223 @@ + + + + + + + + +Experimental datasets used for development and testing of error models — experimental_data_for_UBA_2019 • mkin + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+
+
+

Experimental datasets used for development and testing of error models

+ + +
+ +
+ +

The 12 datasets were extracted from active substance evaluation dossiers published + by EFSA. Kinetic evaluations shown for these datasets are intended to illustrate + and advance error model specifications. The fact that these data and some + results are shown here do not imply a license to use them in the context of + pesticide registrations, as the use of the data may be constrained by + data protection regulations.

+ +
+ + 
experimental_data_for_UBA_2019
+ +

Format

+ +

A list containing twelve datasets as an R6 class defined by mkinds, + each containing, among others, the following components

+
title

The name of the dataset, e.g. Soil 1

+
data

A data frame with the data in the form expected by mkinfit

+
+ +

Source

+ +

Ranke (2019) Documentation of results obtained for the error model expertise + written for the German Umweltbundesamt.

+ + +

Examples

+ 

+# Model definitions
+sfo_sfo <- mkinmod(
+  parent = mkinsub("SFO", to = "A1"),
+  A1 = mkinsub("SFO"),
+  use_of_ff = "max"
+)
#> Successfully compiled differential equation model from auto-generated C code.

+dfop_sfo <- mkinmod(
+  parent = mkinsub("DFOP", to = "A1"),
+  A1 = mkinsub("SFO"),
+  use_of_ff = "max"
+)
#> Successfully compiled differential equation model from auto-generated C code.

+sfo_sfo_sfo <- mkinmod(
+  parent = mkinsub("SFO", to = "A1"),
+  A1 = mkinsub("SFO", to = "A2"),
+  A2 = mkinsub("SFO"),
+  use_of_ff = "max"
+)
#> Successfully compiled differential equation model from auto-generated C code.

+dfop_sfo_sfo <- mkinmod(
+  parent = mkinsub("DFOP", to = "A1"),
+  A1 = mkinsub("SFO", to = "A2"),
+  A2 = mkinsub("SFO"),
+  use_of_ff = "max"
+)
#> Successfully compiled differential equation model from auto-generated C code.
d_1_2 <- lapply(experimental_data_for_UBA_2019[1:2], function(x) x$data)
+names(d_1_2) <- paste("Soil", 1:2)
+
+
+f_1_2_tc <- mmkin(list("DFOP-SFO-SFO" = dfop_sfo_sfo), d_1_2, error_model = "tc")
+
+plot(f_1_2_tc, resplot = "errmod")

+
+
+ +
+ + +
+ + + + + + -- cgit v1.2.1