From 8b7edd4eaf0d196e674a085f744d1a69260a6c91 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 16 Nov 2023 06:02:05 +0100 Subject: Update pkgdown docs to bootstrap 5 with search --- docs/reference/synthetic_data_for_UBA_2014.html | 209 +++++++++++------------- 1 file changed, 93 insertions(+), 116 deletions(-) (limited to 'docs/reference/synthetic_data_for_UBA_2014.html') diff --git a/docs/reference/synthetic_data_for_UBA_2014.html b/docs/reference/synthetic_data_for_UBA_2014.html index ee71a4dd..7fd2de80 100644 --- a/docs/reference/synthetic_data_for_UBA_2014.html +++ b/docs/reference/synthetic_data_for_UBA_2014.html @@ -1,5 +1,20 @@ -Synthetic datasets for one parent compound with two metabolites — synthetic_data_for_UBA_2014 • mkinSynthetic datasets for one parent compound with two metabolites — synthetic_data_for_UBA_2014 • mkin + + Skip to contents -
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Synthetic datasets for one parent compound with two metabolites

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Synthetic datasets for one parent compound with two metabolites

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synthetic_data_for_UBA_2014.Rd
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The 12 datasets were generated using four different models and three different variance components. The four models are either the SFO or the DFOP model with either two sequential or two parallel metabolites.

@@ -142,12 +122,13 @@ Compare also the code in the example section to see the degradation models.">Compare also the code in the example section to see the degradation models.

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Usage

synthetic_data_for_UBA_2014
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Format

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Format

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

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The name of the dataset, e.g. SFO_lin_a

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Source

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Source

Ranke (2014) Prüfung und Validierung von Modellierungssoftware als Alternative zu ModelMaker 4.0, Umweltbundesamt Projektnummer 27452

Rocke, David M. und Lorenzato, Stefan (1995) A two-component model for measurement error in analytical chemistry. Technometrics 37(2), 176-184.

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Examples

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Examples

# \dontrun{
 # The data have been generated using the following kinetic models
 m_synth_SFO_lin <- mkinmod(parent = list(type = "SFO", to = "M1"),
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   summary(fit)
 #> mkin version used for fitting:    1.2.6 
-#> R version used for fitting:       4.3.1 
-#> Date of fit:     Mon Oct 30 09:40:49 2023 
-#> Date of summary: Mon Oct 30 09:40:49 2023 
+#> R version used for fitting:       4.3.2 
+#> Date of fit:     Thu Nov 16 04:20:07 2023 
+#> Date of summary: Thu Nov 16 04:20:07 2023 
 #> 
 #> Equations:
 #> d_parent/dt = - k_parent * parent
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 #> Model predictions using solution type deSolve 
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-#> Fitted using 848 model solutions performed in 0.408 s
+#> Fitted using 848 model solutions performed in 0.166 s
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 #> Error model: Constant variance 
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