amultinomial

Aggregates multinomial data into sufficient statistics for multinomial samples. 
Converts input data to character before processing.
For a sample \(\boldsymbol{y} = \{y_1, \dots, y_n\}\) with \(y_i \in \{1, \dots, K\}\), \(P(y_i = k) = p_k, k=1, \dots, K\), the sample is aggregated into the sufficient statistic 
\(\boldsymbol{s} = (s_1, \dots, s_{K-1})\) 
where 
\(s_k = \sum_{i=1}^n \mathbb{I}(y_i = k)\) for \(k = 1, \dots, K-1\). 
(The last category is omitted due to the sum-to-one constraint)

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

amultinomial function

<dl><dt>data</dt>
<dd>A vector containing the multinomial observations (will be coerced to character).</dd>
<dt>col_name</dt>
<dd>A character string giving the name of the column (primarily for context/error messages, less critical now).</dd>
<dt>all_categories</dt>
<dd>A character vector with the names or levels of all possible categories in the multinomial distribution (must include all observed values after coercion to character).</dd></dl>

Arguments

Aggregates multinomial data into sufficient statistics for multinomial samples. 
Converts input data to character before processing.
For a sample \(\boldsymbol{y} = \{y_1, \dots, y_n\}\) with \(y_i \in \{1, \dots, K\}\), \(P(y_i = k) = p_k, k=1, \dots, K\), the sample is aggregated into the sufficient statistic 
\(\boldsymbol{s} = (s_1, \dots, s_{K-1})\) 
where 
\(s_k = \sum_{i=1}^n \mathbb{I}(y_i = k)\) for \(k = 1, \dots, K-1\). 
(The last category is omitted due to the sum-to-one constraint)

Aggregate multinomial data. Used in aggregate_df. — amultinomial

<dl>

<dt>data</dt>
<dd>A vector containing the multinomial observations (will be coerced to character).</dd>


<dt>col_name</dt>
<dd>A character string giving the name of the column (primarily for context/error messages, less critical now).</dd>


<dt>all_categories</dt>
<dd>A character vector with the names or levels of all possible categories in the multinomial distribution (must include all observed values after coercion to character).</dd>

</dl>

amultinomial: Aggregate multinomial data. Used in `aggregate_df`.

Description

Usage

Value

Arguments