pcd_primary_distributions

A dataset containing information about the supported primary event
distributions in primarycensored. Distributions beyond these are not
supported in the stan code but any user functions can be used in the R code.

datasets

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

pcd_primary_distributions function

A data.frame with 2 rows and 4 columns:<dl>
<dt>name</dt>
<dd>Distribution name</dd><dt>dprimary</dt>
<dd>R density function name</dd><dt>aliases</dt>
<dd>Alternative names/identifiers</dd><dt>stan_id</dt>
<dd>Stan distribution ID used in the stan code</dd>
</dl>

Format

Supported primary event distributions — pcd_primary_distributions

A data.frame with 2 rows and 4 columns:<dl>
<dt>name</dt>
<dd>Distribution name</dd>

<dt>dprimary</dt>
<dd>R density function name</dd>

<dt>aliases</dt>
<dd>Alternative names/identifiers</dd>

<dt>stan_id</dt>
<dd>Stan distribution ID used in the stan code</dd>


</dl>

Supported primary event distributions

pcd_primary_distributions: Supported primary event distributions

Description

Usage

Arguments

Format

See Also