plot_time_effect

Internal plotting helper to visualize median differences over time (or other x-axis),
including HPD interval ribbons and stratified lines.

internal

Bayesian multivariate age-period-cohort (MAPC) models for analyzing health data, with support for model fitting, visualization, stratification, and model comparison. Inference focuses on identifiable cross-strata differences, as described by Riebler and Held (2010) <doi:10.1093/biostatistics/kxp037>. Methods for handling complex survey data via the 'survey' package are included, as described in Mercer et al. (2014) <doi:10.1016/j.spasta.2013.12.001>.

Lars Vatten

MAPCtools

Multivariate Age-Period-Cohort (MAPC) Modeling for Health Data

plot_time_effect function

<dl><dt>data</dt>
<dd>A data frame with columns: x, median_differences, hpd_lower, hpd_upper, Strata.</dd>
<dt>x_lab</dt>
<dd>Label for the x-axis.</dd>
<dt>y_lab</dt>
<dd>Label for the y-axis.</dd>
<dt>family</dt>
<dd>A string indicating model family ("binomial", "poisson", or other).</dd>
<dt>color_palette</dt>
<dd>A named vector of colors for strata.</dd>
<dt>plot_theme</dt>
<dd>A ggplot2 theme object.</dd>
<dt>legend_title</dt>
<dd>Title for the legend.</dd></dl>

Arguments

Plot time effects with uncertainty ribbons — plot_time_effect

<dl>

<dt>data</dt>
<dd>A data frame with columns: x, median_differences, hpd_lower, hpd_upper, Strata.</dd>


<dt>x_lab</dt>
<dd>Label for the x-axis.</dd>


<dt>y_lab</dt>
<dd>Label for the y-axis.</dd>


<dt>family</dt>
<dd>A string indicating model family ("binomial", "poisson", or other).</dd>


<dt>color_palette</dt>
<dd>A named vector of colors for strata.</dd>


<dt>plot_theme</dt>
<dd>A ggplot2 theme object.</dd>


<dt>legend_title</dt>
<dd>Title for the legend.</dd>

</dl>

plot_time_effect: Plot time effects with uncertainty ribbons

Description

Usage

Value

Arguments