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/logLik.mkinfit.html | 206 ++++++++++++++++--------------------- 1 file changed, 86 insertions(+), 120 deletions(-) (limited to 'docs/reference/logLik.mkinfit.html') diff --git a/docs/reference/logLik.mkinfit.html b/docs/reference/logLik.mkinfit.html index 07884f26..7b7b15b6 100644 --- a/docs/reference/logLik.mkinfit.html +++ b/docs/reference/logLik.mkinfit.html @@ -1,118 +1,87 @@ -Calculated the log-likelihood of a fitted mkinfit object — logLik.mkinfit • mkinCalculated the log-likelihood of a fitted mkinfit object — logLik.mkinfit • mkin + + Skip to contents -
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Calculated the log-likelihood of a fitted mkinfit object

- Source: R/logLik.mkinfit.R - +
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Calculated the log-likelihood of a fitted mkinfit object

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logLik.mkinfit.Rd
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This function returns the product of the likelihood densities of each observed value, as calculated as part of the fitting procedure using dnorm, i.e. assuming normal distribution, and with the means @@ -120,13 +89,14 @@ predicted by the degradation model, and the standard deviations predicted by the error model.

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Usage

# S3 method for mkinfit
 logLik(object, ...)
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Arguments

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Arguments

object

An object of class mkinfit.

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For compatibility with the generic method

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Value

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Value

An object of class logLik with the number of estimated parameters (degradation model parameters plus variance model parameters) as attribute.

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Details

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Details

The total number of estimated parameters returned with the value of the likelihood is calculated as the sum of fitted degradation model parameters and the fitted error model parameters.

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See also

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See also

Compare the AIC of columns of mmkin objects using AIC.mmkin.

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Author

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Author

Johannes Ranke

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Examples

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Examples


   # \dontrun{
   sfo_sfo <- mkinmod(
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