From 3147a8c1ec1aa81097bd9897b33b703ae3a5d20f Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Tue, 30 Jan 2018 11:06:33 +0100 Subject: Improve documentation of Rocke and Lorenzato model Static documentation except articles rebuilt by pkgdown --- README.html | 1 + docs/reference/sigma_rl.html | 4 ++-- 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 () {
  • Summary and plotting functions. The summary of an mkinfit object is in fact a full report that should give enough information to be able to approximately reproduce the fit with other tools.
  • The chi-squared error level as defined in the FOCUS kinetics guidance (see below) is calculated for each observed variable.
  • Iteratively reweighted least squares fitting is implemented in a similar way as in KinGUII and CAKE (see below). Simply add the argument reweight.method = "obs" to your call to mkinfit 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.
    • +
  • Iterative reweighting is also possible using the two-component error model for analytical data of Rocke and Lorenzato using the argument reweight.method = "tc".
  • When a metabolite decline phase is not described well by SFO kinetics, SFORB kinetics can be used for the metabolite.
    • 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 @@

    Function describing the standard deviation of the measurement error - in dependence of the measured value:

    -

    \(sigma = sqrt(sigma_low^2 + y^2 * rsd_high^2)\)

    + in dependence of the measured value \(y\):

    +

    $$\sigma = \sqrt{ \sigma_{low}^2 + y^2 * {rsd}_{high}^2}$$

    sigma_rl(y, sigma_low, rsd_high)
    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) -- cgit v1.2.1