expected_groups

Given a data frame and a set of discrete (or factor) variables,
returns all combinations of their observed levels and the list of levels.

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

expected_groups function

<dl><dt>data</dt>
<dd>A data frame whose columns you want to examine.</dd>
<dt>vars</dt>
<dd>Character vector of column names in <code>data</code> to use.</dd></dl>

Arguments

Find expected groups based on distinct values across a set of variables — expected_groups

<dl>

<dt>data</dt>
<dd>A data frame whose columns you want to examine.</dd>


<dt>vars</dt>
<dd>Character vector of column names in <code>data</code> to use.</dd>

</dl>

expected_groups: Find expected groups based on distinct values across a set of variables

Description

Usage

Value

Arguments