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/nlme.mmkin.html | 204 +++++++++++++++++------------------------ 1 file changed, 84 insertions(+), 120 deletions(-) (limited to 'docs/reference/nlme.mmkin.html') diff --git a/docs/reference/nlme.mmkin.html b/docs/reference/nlme.mmkin.html index 05fbac5c..0e0412c6 100644 --- a/docs/reference/nlme.mmkin.html +++ b/docs/reference/nlme.mmkin.html @@ -1,122 +1,90 @@ -Create an nlme model for an mmkin row object — nlme.mmkin • mkinCreate an nlme model for an mmkin row object — nlme.mmkin • mkin + + Skip to contents -
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Create an nlme model for an mmkin row object

- Source: R/nlme.mmkin.R - +
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Create an nlme model for an mmkin row object

+ Source: R/nlme.mmkin.R +
nlme.mmkin.Rd
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This functions sets up a nonlinear mixed effects model for an mmkin row object. An mmkin row object is essentially a list of mkinfit objects that have been obtained by fitting the same model to a list of datasets.

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Usage

# S3 method for mmkin
 nlme(
   model,
@@ -143,8 +111,8 @@ have been obtained by fitting the same model to a list of datasets.

 update(object, ...)
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Arguments

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Arguments

model

An mmkin row object.

@@ -221,33 +189,33 @@ parameters taken from the mmkin object are used

An nlme.mmkin object to update

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Value

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Value

Upon success, a fitted 'nlme.mmkin' object, which is an nlme object with additional elements. It also inherits from 'mixed.mmkin'.

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Details

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Details

Note that the convergence of the nlme algorithms depends on the quality of the data. In degradation kinetics, we often only have few datasets (e.g. data for few soils) and complicated degradation models, which may make it impossible to obtain convergence with nlme.

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Note

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Note

As the object inherits from nlme::nlme, there is a wealth of methods that will automatically work on 'nlme.mmkin' objects, such as nlme::intervals(), nlme::anova.lme() and nlme::coef.lme().

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See also

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See also

nlme_function(), plot.mixed.mmkin, summary.nlme.mmkin

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Examples

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Examples

ds <- lapply(experimental_data_for_UBA_2019[6:10],
  function(x) subset(x$data[c("name", "time", "value")], name == "parent"))
 
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