sample_prior

Generic method for sampling from prior distribution of object

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

sample_prior function

<dl><dt>m</dt>
<dd>object</dd>
<dt>n_samples</dt>
<dd>number of samples to produce</dd>
<dt>...</dt>
<dd>other arguments to be passed</dd></dl>

Arguments

Generic method for sampling from prior distribution of object — sample_prior

<dl>

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


<dt>n_samples</dt>
<dd>number of samples to produce</dd>


<dt>...</dt>
<dd>other arguments to be passed</dd>

</dl>

sample_prior: Generic method for sampling from prior distribution of object

Description

Usage

Value

Arguments