plot_model_selection_criteria

Makes a plot summarizing the model fit scores of a set of models,
and ranks the models based on their score.

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_model_selection_criteria function

<dl><dt>scores</dt>
<dd>Named list of model fit scores. Names correspond to the model.</dd>
<dt>title</dt>
<dd>(Optional) Plot title; defaults to the name of <code>scores</code>.</dd>
<dt>alphabetic</dt>
<dd>(Optional) TRUE/FALSE, indicating if models are to be sorted alphabetically along the horizontal axis. Defaults to <code>FALSE</code>.</dd></dl>

Arguments

Make a plot of model fit scores — plot_model_selection_criteria

<dl>

<dt>scores</dt>
<dd>Named list of model fit scores. Names correspond to the model.</dd>


<dt>title</dt>
<dd>(Optional) Plot title; defaults to the name of <code>scores</code>.</dd>


<dt>alphabetic</dt>
<dd>(Optional) TRUE/FALSE, indicating if models are to be sorted alphabetically along the horizontal axis. Defaults to <code>FALSE</code>.</dd>

</dl>

plot_model_selection_criteria: Make a plot of model fit scores

Description

Usage

Value

Arguments

Details