pcens_cdf

This function dispatches to either analytical solutions (if available) or
numerical integration via the default method. To see which combinations have
analytical solutions implemented, use <code>methods(pcens_cdf)</code>. For example,
<code>pcens_cdf.gamma_unif</code> indicates an analytical solution exists for gamma
delay with uniform primary event distributions.

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

pcens_cdf function

<dl><dt>object</dt>
<dd>A <code>primarycensored</code> object as created by
<code>new_pcens()</code>.</dd>
<dt>q</dt>
<dd>Vector of quantiles</dd>
<dt>pwindow</dt>
<dd>Primary event window</dd>
<dt>use_numeric</dt>
<dd>Logical, if TRUE forces use of numeric integration
even for distributions with analytical solutions. This is primarily
useful for testing purposes or for settings where the analytical solution
breaks down.</dd></dl>

Arguments

Compute primary event censored CDF — pcens_cdf

<dl>

<dt>object</dt>
<dd>A <code>primarycensored</code> object as created by
<code>new_pcens()</code>.</dd>


<dt>q</dt>
<dd>Vector of quantiles</dd>


<dt>pwindow</dt>
<dd>Primary event window</dd>


<dt>use_numeric</dt>
<dd>Logical, if TRUE forces use of numeric integration
even for distributions with analytical solutions. This is primarily
useful for testing purposes or for settings where the analytical solution
breaks down.</dd>

</dl>

pcens_cdf: Compute primary event censored CDF

Description

Usage

Value

Arguments

See Also