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authorJohannes Ranke <jranke@uni-bremen.de>2018-03-09 23:14:39 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2018-03-09 23:14:39 +0100
commit0b677308e3ffbf742880f05cc54da469f3ecc854 (patch)
tree26dab561d6f5a31923b28b5fdf6c1859727dfe7f /docs/reference/synthetic_data_for_UBA.html
parent5aec8e34680e05671347f7577ae36c9ad8e37063 (diff)
Another rebuild of the static docs
Now with rbenchmark installed, to get results for the compiled_models vignette
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<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" />
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