From 0b677308e3ffbf742880f05cc54da469f3ecc854 Mon Sep 17 00:00:00 2001
From: Johannes Ranke <jranke@uni-bremen.de>
Date: Fri, 9 Mar 2018 23:14:39 +0100
Subject: Another rebuild of the static docs

Now with rbenchmark installed, to get results for the compiled_models
vignette
---
 docs/reference/synthetic_data_for_UBA.html | 16 ----------------
 1 file changed, 16 deletions(-)

(limited to 'docs/reference/synthetic_data_for_UBA.html')

diff --git a/docs/reference/synthetic_data_for_UBA.html b/docs/reference/synthetic_data_for_UBA.html
index 192e8dc2..396a6e2b 100644
--- a/docs/reference/synthetic_data_for_UBA.html
+++ b/docs/reference/synthetic_data_for_UBA.html
@@ -27,22 +27,6 @@
 <script src="../pkgdown.js"></script>
   
   
-<meta property="og:title" content="Synthetic datasets for one parent compound with two metabolites — synthetic_data_for_UBA_2014" />
-
-<meta property="og:description" content="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.
-Variance component 'a' is based on a normal distribution with standard deviation of 3,
- Variance component 'b' is also based on a normal distribution, but with a standard deviation of 7.
- Variance component 'c' is based on the error model from Rocke and Lorenzato (1995), with the
- minimum standard deviation (for small y values) of 0.5, and a proportionality constant of 0.07
- for the increase of the standard deviation with y.
-Initial concentrations for metabolites and all values where adding the variance component resulted
- in a value below the assumed limit of detection of 0.1 were set to NA.
-As an example, the first dataset has the title SFO_lin_a and is based on the SFO model
- with two sequential metabolites (linear pathway), with added variance component 'a'.
-Compare also the code in the example section to see the degradation models." />
-<meta name="twitter:card" content="summary" />
 <!-- mathjax -->
 <script src='https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML'></script>
 
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