From 0b98c459c30a0629a728acf6b311de035c55fb64 Mon Sep 17 00:00:00 2001
From: Johannes Ranke <jranke@uni-bremen.de>
Date: Wed, 18 Jul 2018 15:18:30 +0200
Subject: Correct references to the Rocke and Lorenzato model

Rename 'sigma_rl' to 'sigma_twocomp' as the Rocke and Lorenzato model assumes lognormal distribution for large y.
Rebuild static documentation.
---
 docs/reference/synthetic_data_for_UBA.html | 12 +++++++++---
 1 file changed, 9 insertions(+), 3 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 6e0ac227..9d9404e5 100644
--- a/docs/reference/synthetic_data_for_UBA.html
+++ b/docs/reference/synthetic_data_for_UBA.html
@@ -39,7 +39,10 @@ Variance component 'a' is based on a normal distribution with standard deviation
  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.
+ for the increase of the standard deviation with y. Note that this is a simplified version
+ of the error model proposed by Rocke and Lorenzato (1995), as in their model the error of the 
+ measured values approximates lognormal distribution for high values, whereas we are using
+ normally distributed error components all along.
 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
@@ -73,7 +76,7 @@ Compare also the code in the example section to see the degradation models." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="label label-default" data-toggle="tooltip" data-placement="bottom" title="Released package">0.9.47.1</span>
+        <span class="label label-default" data-toggle="tooltip" data-placement="bottom" title="Released package">0.9.47.2</span>
       </span>
     </div>
 
@@ -142,7 +145,10 @@ Compare also the code in the example section to see the degradation models." />
  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.</p>
+ for the increase of the standard deviation with y. Note that this is a simplified version
+ of the error model proposed by Rocke and Lorenzato (1995), as in their model the error of the 
+ measured values approximates lognormal distribution for high values, whereas we are using
+ normally distributed error components all along.</p>
 <p>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 <code>NA</code>.</p>
 <p>As an example, the first dataset has the title <code>SFO_lin_a</code> and is based on the SFO model
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