coef.orthusfit

Orthus: Returned as array of dimension (D-1+P) x Q x iter (if in ALR or ILR) 
otherwise (D+P) x Q x iter.

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

coef.orthusfit function

<dl><dt>object</dt>
<dd>an object of class orthusfit</dd>
<dt>...</dt>
<dd>other options passed to coef.orthusfit (see details)</dd></dl>

Arguments

Return regression coefficients of orthus object — coef.orthusfit

<dl>

<dt>object</dt>
<dd>an object of class orthusfit</dd>


<dt>...</dt>
<dd>other options passed to coef.orthusfit (see details)</dd>

</dl>

coef.orthusfit: Return regression coefficients of orthus object

Description

Usage

Value

Arguments

Details