Shannon entropy for multivariate discrete data

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

H function

<dl><dt>px</dt>
<dd>a vector of positive numbers sum to 1</dd></dl>

Arguments

Shannon entropy for multivariate discrete data — H

<dl>

<dt>px</dt>
<dd>a vector of positive numbers sum to 1</dd>

</dl>

H: Shannon entropy for multivariate discrete data

Description

Usage

Value

Arguments

Examples