create_default_ilr_base

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

create_default_ilr_base function

<dl><dt>D</dt>
<dd>the number of parts (e.g., number of columns in untransformed data)</dd></dl>

Arguments

Create a default ILR base — create_default_ilr_base

<dl>

<dt>D</dt>
<dd>the number of parts (e.g., number of columns in untransformed data)</dd>

</dl>

create_default_ilr_base: Create a default ILR base

Description

Usage

Value

Arguments