extract_summary_linearEffects

Internal helper function to create a <code>data.frame</code> containing the linear
effects summary of a model fitted with <code><a href="/link/gam?package=APCtools&version=1.0.4" data-mini-rdoc="APCtools::gam">gam</a></code> or
<code><a href="/link/bam?package=APCtools&version=1.0.4" data-mini-rdoc="APCtools::bam">bam</a></code>.

Age-Period-Cohort (APC) analyses are used to differentiate relevant drivers for long-term developments.
The 'APCtools' package offers visualization techniques and general routines to simplify the workflow of an APC analysis.
Sophisticated functions are available both for descriptive and regression model-based analyses.
For the former, we use density (or ridgeline) matrices and (hexagonally binned) heatmaps as innovative visualization
techniques building on the concept of Lexis diagrams.
Model-based analyses build on the separation of the temporal dimensions based on generalized additive models,
where a tensor product interaction surface (usually between age and period) is utilized
to represent the third dimension (usually cohort) on its diagonal.
Such tensor product surfaces can also be estimated while accounting for
further covariates in the regression model.
See Weigert et al. (2021) <doi:10.1177/1354816620987198> for methodological details.

Alexander Bauer

APCtools

Routines for Descriptive and Model-Based APC Analysis

Maximilian Weigert

Hawre Jalal

extract_summary_linearEffects function

<dl><dt>model</dt>
<dd>Model fitted with <code><a href="/link/gam?package=APCtools&version=1.0.4" data-mini-rdoc="APCtools::gam">gam</a></code> or <code><a href="/link/bam?package=APCtools&version=1.0.4" data-mini-rdoc="APCtools::bam">bam</a></code>.</dd>
<dt>method_expTransform</dt>
<dd>One of <code>c("simple","delta")</code>, stating if
standard errors and confidence interval limits should be transformed by
a simple exp transformation or using the delta method. The delta method can
be unstable in situations and lead to negative confidence interval limits.
Only used when the model was estimated with a log or logit link.</dd></dl>

Arguments

Internal helper function to create a <code>data.frame</code> containing the linear
effects summary of a model fitted with <code><a href='https://rdrr.io/pkg/mgcv/man/gam.html'>gam</a></code> or
<code><a href='https://rdrr.io/pkg/mgcv/man/bam.html'>bam</a></code>.

Internal helper to extract summary of linear effects in a gam model — extract_summary_linearEffects

<dl>

<dt>model</dt>
<dd>Model fitted with <code><a href='https://rdrr.io/pkg/mgcv/man/gam.html'>gam</a></code> or <code><a href='https://rdrr.io/pkg/mgcv/man/bam.html'>bam</a></code>.</dd>


<dt>method_expTransform</dt>
<dd>One of <code>c("simple","delta")</code>, stating if
standard errors and confidence interval limits should be transformed by
a simple exp transformation or using the delta method. The delta method can
be unstable in situations and lead to negative confidence interval limits.
Only used when the model was estimated with a log or logit link.</dd>

</dl>

extract_summary_linearEffects: Internal helper to extract summary of linear effects in a gam model

Description

Usage

Arguments

Details