pathogen_category_perch

231 rows indicating bacteria, virus, fungi, or other categories.

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_perch function

A matrix of two columns<dl>
<dt>pathogen</dt>
<dd>names of the pathogens</dd><dt>pathogen_type</dt>
<dd>category of the pathogens, <code>B</code> for
bacterium, <code>V</code> for virus, <code>F</code> for fungus, <code>O</code> for "not categorized"</dd>
</dl>

Format

pathogens and their categories in PERCH study (virus or bacteria) — pathogen_category_perch

A matrix of two columns<dl>
<dt>pathogen</dt>
<dd>names of the pathogens</dd>

<dt>pathogen_type</dt>
<dd>category of the pathogens, <code>B</code> for
bacterium, <code>V</code> for virus, <code>F</code> for fungus, <code>O</code> for "not categorized"</dd>


</dl>

pathogen_category_perch: pathogens and their categories in PERCH study (virus or bacteria)

Description

Usage

Arguments

Value

Format