set_strat

<code>set_strat</code> makes group indicators based on <code>model_options$X_reg_*</code>

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

set_strat function

<dl><dt>X</dt>
<dd>A data frame of covariates</dd>
<dt>X_reg</dt>
<dd>The vector of covariates that will stratify the analyses. These
variables have to be categorical.</dd></dl>

Arguments

Stratification setup by covariates — set_strat

<dl>

<dt>X</dt>
<dd>A data frame of covariates</dd>


<dt>X_reg</dt>
<dd>The vector of covariates that will stratify the analyses. These
variables have to be categorical.</dd>

</dl>

set_strat: Stratification setup by covariates

Description

Usage

Value

Arguments

Details