check_truncation

This function checks if the truncation time D is appropriate relative to the
maximum delay. If D is much larger than necessary, it suggests
considering setting it to <code>Inf</code> for better efficiency with minimal accuracy
cost.

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

check_truncation function

<dl><dt>delays</dt>
<dd>A numeric vector of delay times</dd>
<dt>D</dt>
<dd>The truncation time</dd>
<dt>multiplier</dt>
<dd>The multiplier for the maximum delay to compare with D.
Default is 2.</dd></dl>

Arguments

Check if truncation time is appropriate relative to the maximum delay — check_truncation

<dl>

<dt>delays</dt>
<dd>A numeric vector of delay times</dd>


<dt>D</dt>
<dd>The truncation time</dd>


<dt>multiplier</dt>
<dd>The multiplier for the maximum delay to compare with D.
Default is 2.</dd>

</dl>

check_truncation: Check if truncation time is appropriate relative to the maximum delay

Description

Usage

Value

Arguments

See Also

Examples