.extract_stan_functions

Extract function names or content from Stan code

internal

Provides functions for working with primary
event censored distributions and 'Stan' implementations for use in Bayesian
modeling. Primary event censored distributions are useful for modeling
delayed reporting scenarios in epidemiology and other fields (Charniga et
al. (2024) <doi:10.48550/arXiv.2405.08841>). It also provides support for
arbitrary delay distributions, a range of common primary distributions, and
allows for truncation and secondary event censoring to be accounted for
(Park et al. (2024) <doi:10.1101/2024.01.12.24301247>). A subset of
common distributions also have analytical solutions implemented, allowing
for faster computation. In addition, it provides multiple methods for
fitting primary event censored distributions to data via optional
dependencies.

Sam Abbott 

primarycensored

Primary Event Censored Distributions

Sam Abbott

Sam Brand

Adam Howes

James Mba Azam

Carl Pearson

Sebastian Funk

Kelly Charniga

.extract_stan_functions function

<dl><dt>content</dt>
<dd>Character vector containing Stan code</dd>
<dt>names_only</dt>
<dd>Logical, if TRUE extract function names, otherwise
extract function content.</dd>
<dt>functions</dt>
<dd>Optional, character vector of function names to extract
content for.</dd></dl>

Arguments

Extract function names or content from Stan code — .extract_stan_functions

<dl>

<dt>content</dt>
<dd>Character vector containing Stan code</dd>


<dt>names_only</dt>
<dd>Logical, if TRUE extract function names, otherwise
extract function content.</dd>


<dt>functions</dt>
<dd>Optional, character vector of function names to extract
content for.</dd>

</dl>

Extract function names or content from Stan code

.extract_stan_functions: Extract function names or content from Stan code

Description

Usage

Value

Arguments