.normalise_cdf

Internal function to normalise a primary event censored CDF when truncation
is applied. The CDF is normalised by dividing by its value at the truncation
point D and setting all values beyond D to 1.

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

.normalise_cdf function

<dl><dt>result</dt>
<dd>Numeric vector of CDF values to normalise.</dd>
<dt>q</dt>
<dd>Numeric vector of quantiles at which CDF was evaluated.</dd>
<dt>D</dt>
<dd>Numeric truncation point</dd>
<dt>pcens_obj</dt>
<dd>A primarycensored object as created by <code>new_pcens()</code>.</dd>
<dt>pwindow</dt>
<dd>Secondary event window</dd></dl>

Arguments

Normalise a primary event censored CDF — .normalise_cdf

<dl>

<dt>result</dt>
<dd>Numeric vector of CDF values to normalise.</dd>


<dt>q</dt>
<dd>Numeric vector of quantiles at which CDF was evaluated.</dd>


<dt>D</dt>
<dd>Numeric truncation point</dd>


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


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

</dl>

Normalise a primary event censored CDF

.normalise_cdf: Normalise a primary event censored CDF

Description

Usage

Value

Arguments