multinomial_aggregator

Aggregates multinomial data into sufficient statistics for multinomial samples. Uses <code>amultinomial</code>.

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

multinomial_aggregator function

<dl><dt>df</dt>
<dd>Data frame with multinomial data column.</dd>
<dt>col_name</dt>
<dd>Name of column with multinomial data.</dd>
<dt>all_categories</dt>
<dd>Character vector of names of categories in multinomial distribution.</dd></dl>

Arguments

Aggregate multinomial data (No changes needed here) — multinomial_aggregator

<dl>

<dt>df</dt>
<dd>Data frame with multinomial data column.</dd>


<dt>col_name</dt>
<dd>Name of column with multinomial data.</dd>


<dt>all_categories</dt>
<dd>Character vector of names of categories in multinomial distribution.</dd>

</dl>

multinomial_aggregator: Aggregate multinomial data (No changes needed here)

Description

Usage

Value

Arguments