create_bugs_regressor_FPR

<code>create_bugs_regressor_FPR</code> creates linear product of coefficients
and a row of design matrix used in regression

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

create_bugs_regressor_FPR function

<dl><dt>n</dt>
<dd>the length of coefficients</dd>
<dt>dm_nm</dt>
<dd>name of design matrix; default <code>"dm_FPR"</code></dd>
<dt>b_nm</dt>
<dd>name of the coefficients; default <code>"b"</code></dd>
<dt>ind_nm</dt>
<dd>name of the coefficient iterator; default <code>"j"</code></dd>
<dt>sub_ind_nm</dt>
<dd>name of the subject iterator; default <code>"k"</code></dd></dl>

Arguments

create regressor summation equation used in regression for FPR — create_bugs_regressor_FPR

<dl>

<dt>n</dt>
<dd>the length of coefficients</dd>


<dt>dm_nm</dt>
<dd>name of design matrix; default <code>"dm_FPR"</code></dd>


<dt>b_nm</dt>
<dd>name of the coefficients; default <code>"b"</code></dd>


<dt>ind_nm</dt>
<dd>name of the coefficient iterator; default <code>"j"</code></dd>


<dt>sub_ind_nm</dt>
<dd>name of the subject iterator; default <code>"k"</code></dd>

</dl>

create_bugs_regressor_FPR: create regressor summation equation used in regression for FPR

Description

Usage

Value

Arguments