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author | Johannes Ranke <jranke@uni-bremen.de> | 2019-07-04 13:04:38 +0200 |
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committer | Johannes Ranke <jranke@uni-bremen.de> | 2019-07-04 13:04:38 +0200 |
commit | eed28a846b6b6deb67e07fddf6e62d299a6547bb (patch) | |
tree | c4fce23d8859110a3dc2699882076cb16980f3d4 /README.html | |
parent | 7e8d788d298b8e1492fd8f62d88456e99e0f5992 (diff) |
Update README and introductory vignette
Diffstat (limited to 'README.html')
-rw-r--r-- | README.html | 18 |
1 files changed, 12 insertions, 6 deletions
diff --git a/README.html b/README.html index 5aaf5822..3578674b 100644 --- a/README.html +++ b/README.html @@ -254,9 +254,7 @@ h6 { </style> -</head> -<body> <style type="text/css"> .main-container { @@ -288,8 +286,6 @@ summary { -<div class="container-fluid main-container"> - <!-- tabsets --> <style type="text/css"> @@ -363,6 +359,15 @@ $(document).ready(function () { +</head> + +<body> + + +<div class="container-fluid main-container"> + + + <div class="fluid-row" id="header"> @@ -405,9 +410,10 @@ $(document).ready(function () { <li>The usual one-sided t-test for significant difference from zero is nevertheless shown based on estimators for the untransformed parameters.</li> <li>Summary and plotting functions. The <code>summary</code> of an <code>mkinfit</code> object is in fact a full report that should give enough information to be able to approximately reproduce the fit with other tools.</li> <li>The chi-squared error level as defined in the FOCUS kinetics guidance (see below) is calculated for each observed variable.</li> -<li>Iteratively reweighted least squares fitting is implemented in a similar way as in KinGUII and CAKE (see below). Simply add the argument <code>reweight.method = "obs"</code> to your call to <code>mkinfit</code> and a separate variance componenent for each of the observed variables will be optimised in a second stage after the primary optimisation algorithm has converged.</li> -<li>Iterative reweighting is also possible using a two-component error model for analytical data similar to the one proposed by <a href="https://pkgdown.jrwb.de/mkin/reference/sigma_twocomp.html">Rocke and Lorenzato</a> using the argument <code>reweight.method = "tc"</code>.</li> <li>When a metabolite decline phase is not described well by SFO kinetics, SFORB kinetics can be used for the metabolite.</li> +<li>Three different error models can be selected using the argument <code>error_model</code> to the <a href="https://pkgdown.jrwb.de/mkin/reference/mkinfit.html"><code>mkinfit</code></a> function.</li> +<li>Iteratively reweighted least squares fitting is now obsolete, and the variance by variable error model should now be specified as <code>error_model = "obs"</code>.</li> +<li>A two-component error model similar to the one proposed by <a href="https://pkgdown.jrwb.de/mkin/reference/sigma_twocomp.html">Rocke and Lorenzato</a> can be selected using the argument <code>error_model = "tc"</code>.</li> </ul> </div> <div id="gui" class="section level2"> |