diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2018-01-30 11:06:33 +0100 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2018-01-30 11:20:55 +0100 |
| commit | 3147a8c1ec1aa81097bd9897b33b703ae3a5d20f (patch) | |
| tree | bd863539e7307ce24360d9c47a65614bc2c07938 | |
| parent | bd234377b7fa2ef056544a9299478b265d18d89f (diff) | |
Improve documentation of Rocke and Lorenzato model
Static documentation except articles rebuilt by pkgdown
| -rw-r--r-- | README.html | 1 | ||||
| -rw-r--r-- | docs/reference/sigma_rl.html | 4 | ||||
| -rw-r--r-- | man/sigma_rl.Rd | 5 |
3 files changed, 6 insertions, 4 deletions
diff --git a/README.html b/README.html index f4999a38..b3ba4ce1 100644 --- a/README.html +++ b/README.html @@ -153,6 +153,7 @@ $(document).ready(function () { <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 the two-component error model for analytical data of <a href="http://kinfit.r-forge.r-project.org/mkin_static/reference/sigma_rl.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> </ul> </div> diff --git a/docs/reference/sigma_rl.html b/docs/reference/sigma_rl.html index 36f2a0c1..b7c93961 100644 --- a/docs/reference/sigma_rl.html +++ b/docs/reference/sigma_rl.html @@ -103,8 +103,8 @@ <p>Function describing the standard deviation of the measurement error - in dependence of the measured value:</p> -<p>\(sigma = sqrt(sigma_low^2 + y^2 * rsd_high^2)\)</p> + in dependence of the measured value \(y\):</p> +<p>$$\sigma = \sqrt{ \sigma_{low}^2 + y^2 * {rsd}_{high}^2}$$</p> <pre class="usage"><span class='fu'>sigma_rl</span>(<span class='no'>y</span>, <span class='no'>sigma_low</span>, <span class='no'>rsd_high</span>)</pre> diff --git a/man/sigma_rl.Rd b/man/sigma_rl.Rd index d1c22a77..0b5d6f3c 100644 --- a/man/sigma_rl.Rd +++ b/man/sigma_rl.Rd @@ -3,9 +3,10 @@ \title{ Two component error model of Rocke and Lorenzato} \description{ Function describing the standard deviation of the measurement error - in dependence of the measured value: + in dependence of the measured value \eqn{y}: - \eqn{sigma = sqrt(sigma_low^2 + y^2 * rsd_high^2)} + \deqn{\sigma = \sqrt{ \sigma_{low}^2 + y^2 * {rsd}_{high}^2}}{% + sigma = sqrt(sigma_low^2 + y^2 * rsd_high^2)} } \usage{ sigma_rl(y, sigma_low, rsd_high) |