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/mkinpredict.html | 204 +++++++++++++++++----------------------- 1 file changed, 84 insertions(+), 120 deletions(-) (limited to 'docs/reference/mkinpredict.html') diff --git a/docs/reference/mkinpredict.html b/docs/reference/mkinpredict.html index d52e57cc..860c7cfc 100644 --- a/docs/reference/mkinpredict.html +++ b/docs/reference/mkinpredict.html @@ -1,122 +1,90 @@ -Produce predictions from a kinetic model using specific parameters — mkinpredict • mkinProduce predictions from a kinetic model using specific parameters — mkinpredict • mkin + + Skip to contents -
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Produce predictions from a kinetic model using specific parameters

- Source: R/mkinpredict.R - +
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Produce predictions from a kinetic model using specific parameters

+ Source: R/mkinpredict.R +
mkinpredict.Rd
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This function produces a time series for all the observed variables in a kinetic model as specified by mkinmod, using a specific set of kinetic parameters and initial values for the state variables.

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Usage

mkinpredict(x, odeparms, odeini, outtimes, ...)
 
 # S3 method for mkinmod
@@ -153,8 +121,8 @@ kinetic parameters and initial values for the state variables.

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Arguments

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Arguments

x

A kinetic model as produced by mkinmod, or a kinetic fit as fitted by mkinfit. In the latter case, the fitted parameters are used for @@ -231,19 +199,19 @@ as these always return mapped output.

Should it be an error if ode returns NaN values

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Value

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Value

A matrix with the numeric solution in wide format

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Author

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Author

Johannes Ranke

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Examples

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Examples


 SFO <- mkinmod(degradinol = mkinsub("SFO"))
 # Compare solution types
@@ -398,10 +366,10 @@ as these always return mapped output.

       solution_type = "analytical", use_compiled = FALSE)[201,])
 }
 #>               test relative elapsed
-#> 2 deSolve_compiled      1.0   0.005
-#> 4       analytical      1.0   0.005
-#> 1            eigen      3.2   0.016
-#> 3          deSolve     24.4   0.122
+#> 4       analytical        1   0.001
+#> 2 deSolve_compiled        2   0.002
+#> 1            eigen        8   0.008
+#> 3          deSolve       64   0.064
 
 # \dontrun{
   # Predict from a fitted model
@@ -413,26 +381,22 @@ as these always return mapped output.
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