pibble_tidy_samples

Combines them all into a single tibble, see example for formatting and 
column headers. Primarily designed to be used by 
<code>summary.pibblefit</code>.

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

pibble_tidy_samples function

<dl><dt>m</dt>
<dd>an object of class pibblefit</dd>
<dt>use_names</dt>
<dd>should dimension indices be replaced by
dimension names if provided in data used to fit pibble model.</dd>
<dt>as_factor</dt>
<dd>if use_names should names be returned as factor?</dd></dl>

Arguments

Convert pibble samples of Eta Lambda and Sigma to tidy format — pibble_tidy_samples

<dl>

<dt>m</dt>
<dd>an object of class pibblefit</dd>


<dt>use_names</dt>
<dd>should dimension indices be replaced by
dimension names if provided in data used to fit pibble model.</dd>


<dt>as_factor</dt>
<dd>if use_names should names be returned as factor?</dd>

</dl>

pibble_tidy_samples: Convert pibble samples of Eta Lambda and Sigma to tidy format

Description

Usage

Value

Arguments

Examples