req.maltipoofit

require elements to be non-null in pibblefit or throw error

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

req.maltipoofit function

<dl><dt>m</dt>
<dd>object</dd>
<dt>r</dt>
<dd>vector of elements to test for</dd></dl>

Arguments

require elements to be non-null in pibblefit or throw error — req.maltipoofit

<dl>

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


<dt>r</dt>
<dd>vector of elements to test for</dd>

</dl>

req.maltipoofit: require elements to be non-null in pibblefit or throw error

Description

Usage

Value

Arguments