random_pibble_init

Randomly initializes based on ALR transform of counts
plus random pseudocounts uniformily distributed between 
0 and 1.

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

random_pibble_init function

<dl><dt>Y</dt>
<dd>matrix (D x N) of counts</dd></dl>

Arguments

Provide random initialization for pibble model — random_pibble_init

<dl>

<dt>Y</dt>
<dd>matrix (D x N) of counts</dd>

</dl>

random_pibble_init: Provide random initialization for pibble model

Description

Usage

Value

Arguments

Details

Examples