pathogen_category_simulation

This is used in simulations where the pathogen names are from the alphabet,
and we hope to plot etiologies grouped by virus or bacteria

datasets

Provides functions to specify, fit and visualize
nested partially-latent class models (
Wu, Deloria-Knoll, Hammitt, and Zeger (2016) <doi:10.1111/rssc.12101>;
Wu, Deloria-Knoll, and Zeger (2017) <doi:10.1093/biostatistics/kxw037>;
Wu and Chen (2021) <doi:10.1002/sim.8804>) for
inference of population disease etiology and individual diagnosis. In the motivating
Pneumonia Etiology Research for Child Health (PERCH) study, because both quantities
of interest sum to one hundred percent, the PERCH scientists frequently refer to
them as population etiology pie and individual etiology pie, hence the name of the package.

Zhenke Wu

baker

"Nested Partially Latent Class Models"

Scott Zeger

John Muschelli

Irena Chen

pathogen_category_simulation function

A matrix of two columns<dl>
<dt>pathogen</dt>
<dd>names of the hypothetical pathogens, A-Z</dd><dt>pathogen_type</dt>
<dd>category of the hypothetical pathogens, <code>B</code> for
bacterium, <code>V</code> for virus, which are randomly assigned.</dd>
</dl>

Format

Hypothetical pathogens and their categories (virus or bacteria) — pathogen_category_simulation

A matrix of two columns<dl>
<dt>pathogen</dt>
<dd>names of the hypothetical pathogens, A-Z</dd>

<dt>pathogen_type</dt>
<dd>category of the hypothetical pathogens, <code>B</code> for
bacterium, <code>V</code> for virus, which are randomly assigned.</dd>


</dl>

pathogen_category_simulation: Hypothetical pathogens and their categories (virus or bacteria)

Description

Usage

Arguments

Value

Format