From 8b7edd4eaf0d196e674a085f744d1a69260a6c91 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 16 Nov 2023 06:02:05 +0100 Subject: Update pkgdown docs to bootstrap 5 with search --- docs/reference/sigma_twocomp.html | 199 ++++++++++++++++---------------------- 1 file changed, 81 insertions(+), 118 deletions(-) (limited to 'docs/reference/sigma_twocomp.html') diff --git a/docs/reference/sigma_twocomp.html b/docs/reference/sigma_twocomp.html index 06bae61f..93641862 100644 --- a/docs/reference/sigma_twocomp.html +++ b/docs/reference/sigma_twocomp.html @@ -1,125 +1,92 @@ -Two-component error model — sigma_twocomp • mkinTwo-component error model — sigma_twocomp • mkin + + Skip to contents -
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Two-component error model

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Two-component error model

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sigma_twocomp.Rd
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Function describing the standard deviation of the measurement error in dependence of the measured value \(y\):

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Usage

sigma_twocomp(y, sigma_low, rsd_high)
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Arguments

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Arguments

y

The magnitude of the observed value

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deviation with the magnitude of the observed value

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Value

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Value

The standard deviation of the response variable.

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Details

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Details

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

This is the error model used for example by Werner et al. (1978). The model @@ -149,8 +116,8 @@ proposed by Rocke and Lorenzato (1995) can be written in this form as well, but assumes approximate lognormal distribution of errors for high values of y.

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References

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References

Werner, Mario, Brooks, Samuel H., and Knott, Lancaster B. (1978) Additive, Multiplicative, and Mixed Analytical Errors. Clinical Chemistry 24(11), 1895-1898.

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Examples

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Examples

times <- c(0, 1, 3, 7, 14, 28, 60, 90, 120)
 d_pred <- data.frame(time = times, parent = 100 * exp(- 0.03 * times))
 set.seed(123456)
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 #> f_mkin_tc     4 101.6446
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