model_selection_criteria_table

Generates a table summarizing the provided model fit scores.

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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

model_selection_criteria_table function

<dl><dt>dic_scores</dt>
<dd>Named list of DIC scores. Names correspond to the model.</dd>
<dt>waic_scores</dt>
<dd>Named list of WAIC scores. Names correspond to the model.</dd>
<dt>log_scores</dt>
<dd>Named list of log-scores scores (derived from CPO scores). Names correspond to the model.</dd></dl>

Arguments

Make a table of model fit scores — model_selection_criteria_table

<dl>

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


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


<dt>log_scores</dt>
<dd>Named list of log-scores scores (derived from CPO scores). Names correspond to the model.</dd>

</dl>

model_selection_criteria_table: Make a table of model fit scores

Description

Usage

Value

Arguments