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/lrtest.mkinfit.html | 194 +++++++++++++++---------------------- 1 file changed, 80 insertions(+), 114 deletions(-) (limited to 'docs/reference/lrtest.mkinfit.html') diff --git a/docs/reference/lrtest.mkinfit.html b/docs/reference/lrtest.mkinfit.html index 45466262..9e784c43 100644 --- a/docs/reference/lrtest.mkinfit.html +++ b/docs/reference/lrtest.mkinfit.html @@ -1,118 +1,87 @@ -Likelihood ratio test for mkinfit models — lrtest.mkinfit • mkinLikelihood ratio test for mkinfit models — lrtest.mkinfit • mkin + + Skip to contents -
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Likelihood ratio test for mkinfit models

- Source: R/lrtest.mkinfit.R - +
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Likelihood ratio test for mkinfit models

+ Source: R/lrtest.mkinfit.R +
lrtest.mkinfit.Rd
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Compare two mkinfit models based on their likelihood. If two fitted mkinfit objects are given as arguments, it is checked if they have been fitted to the same data. It is the responsibility of the user to make sure @@ -120,7 +89,8 @@ that the models are nested, i.e. one of them has less degrees of freedom and can be expressed by fixing the parameters of the other.

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Usage

# S3 method for mkinfit
 lrtest(object, object_2 = NULL, ...)
 
@@ -128,8 +98,8 @@ and can be expressed by fixing the parameters of the other.

 lrtest(object, ...)
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Arguments

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Arguments

object

An mkinfit object, or an mmkin column object containing two fits to the same data.

@@ -144,8 +114,8 @@ object containing two fits to the same data.

update.mkinfit for creating the alternative fitted object.

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Details

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Details

Alternatively, an argument to mkinfit can be given which is then passed to update.mkinfit to obtain the alternative model.

The comparison is then made by the lrtest.default @@ -154,8 +124,8 @@ parameters (alternative hypothesis) is listed first, then the model with the lower number of fitted parameters (null hypothesis).

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Examples

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Examples

# \dontrun{
 test_data <- subset(synthetic_data_for_UBA_2014[[12]]$data, name == "parent")
 sfo_fit <- mkinfit("SFO", test_data, quiet = TRUE)
@@ -210,26 +180,22 @@ lower number of fitted parameters (null hypothesis).

 # }
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