add_APC_by_match

Add 1-indexed age, period and cohort indices via match()

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

add_APC_by_match function

<dl><dt>df</dt>
<dd>Data frame</dd>
<dt>age_name</dt>
<dd>Name of the age (or age-group) column (string).</dd>
<dt>period_name</dt>
<dd>Name of the period (e.g. year) column (string).</dd>
<dt>age_order</dt>
<dd>Character vector giving the desired ordering of age levels</dd>
<dt>period_order</dt>
<dd>Vector (numeric or character) giving the desired ordering of periods</dd>
<dt>M</dt>
<dd>Grid factor, defined as the ratio of age interval width to period interval width.</dd></dl>

Arguments

Add 1-indexed age, period and cohort indices via match() — add_APC_by_match

<dl>

<dt>df</dt>
<dd>Data frame</dd>


<dt>age_name</dt>
<dd>Name of the age (or age-group) column (string).</dd>


<dt>period_name</dt>
<dd>Name of the period (e.g. year) column (string).</dd>


<dt>age_order</dt>
<dd>Character vector giving the desired ordering of age levels</dd>


<dt>period_order</dt>
<dd>Vector (numeric or character) giving the desired ordering of periods</dd>


<dt>M</dt>
<dd>Grid factor, defined as the ratio of age interval width to period interval width.</dd>

</dl>

add_APC_by_match: Add 1-indexed age, period and cohort indices via match()

Description

Usage

Value

Arguments