Generic method for visualizing posterior predictive checks

Provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Models using MAP estimation
and Laplace Approximation as developed in Silverman et. Al. (2022) <https://www.jmlr.org/papers/v23/19-882.html>. Key functionality is implemented in C++ for
scalability. 'fido' replaces the previous package 'stray'.

Michelle Nixon

fido

Bayesian Multinomial Logistic Normal Regression

Justin Silverman

Kim Roche

ppc function

<dl><dt>m</dt>
<dd>object</dd>
<dt>...</dt>
<dd>other arguments passed that control visualization</dd></dl>

Arguments

Generic method for visualizing posterior predictive checks — ppc

<dl>

<dt>m</dt>
<dd>object</dd>


<dt>...</dt>
<dd>other arguments passed that control visualization</dd>

</dl>

ppc: Generic method for visualizing posterior predictive checks

Description

Usage

Value

Arguments