From 2a521ab0a4b7d981a2042353e2c60b8a877489b8 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Fri, 16 Sep 2022 10:51:48 +0200 Subject: Improve docs and update pkgdown --- docs/dev/reference/index.html | 22 +++++++++++++--------- 1 file changed, 13 insertions(+), 9 deletions(-) (limited to 'docs/dev/reference/index.html') diff --git a/docs/dev/reference/index.html b/docs/dev/reference/index.html index 98f170b6..3372a69a 100644 --- a/docs/dev/reference/index.html +++ b/docs/dev/reference/index.html @@ -107,6 +107,10 @@ degradation models and one or more error models

Generic functions introduced by the package

+

parms()

+ +

Extract model parameters

+

convergence() print(<convergence.mmkin>)

Method to get convergence information

@@ -119,6 +123,10 @@ degradation models and one or more error models

Function to calculate endpoints for further use from kinetic models fitted with mkinfit

+ +

aw()

+ +

Calculate Akaike weights for model averaging

Show results

Functions working with mkinfit objects

@@ -131,10 +139,6 @@ with mkinfit

summary(<mkinfit>) print(<summary.mkinfit>)

Summary method for class "mkinfit"

- -

parms()

- -

Extract model parameters from mkinfit models

confint(<mkinfit>)

@@ -155,10 +159,6 @@ with mkinfit

mkinerrmin()

Calculate the minimum error to assume in order to pass the variance test

- -

aw()

- -

Calculate Akaike weights for model averaging

CAKE_export()

@@ -193,7 +193,7 @@ of an mmkin object

Create an nlme model for an mmkin row object

-

saem() print(<saem.mmkin>) saemix_model() saemix_data()

+

saem() print(<saem.mmkin>) saemix_model() saemix_data() parms(<saem.mmkin>)

Fit nonlinear mixed models with SAEM

@@ -233,6 +233,10 @@ degradation models and one or more error models

intervals(<saem.mmkin>)

Confidence intervals for parameters in saem.mmkin objects

+ +

multistart() print(<multistart>) parms(<multistart>) parhist() llhist()

+ +

Perform a hierarchical model fit with multiple starting values

Datasets and known results

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