abinomial

Aggregates binomial data using sufficient statistics for binomial samples.
For a sample \(\boldsymbol{y} = \{y_1, \dots, y_n\}\) with \(y_i \sim \text{Bin}(n, p)\), the sample is aggregated into the sufficient statistic 
\(s = \sum_{i=1}^n y_i\).

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

abinomial function

<dl><dt>data</dt>
<dd>Binomial data vector.</dd></dl>

Arguments

Aggregates binomial data using sufficient statistics for binomial samples.
For a sample \(\boldsymbol{y} = \{y_1, \dots, y_n\}\) with \(y_i \sim \text{Bin}(n, p)\), the sample is aggregated into the sufficient statistic 
\(s = \sum_{i=1}^n y_i\).

Aggregate binomial data — abinomial

<dl>

<dt>data</dt>
<dd>Binomial data vector.</dd>

</dl>

abinomial: Aggregate binomial data

Description

Usage

Value

Arguments