plot_subwt_regression

visualize the subclass weight regression with a continuous covariate

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

plot_subwt_regression function

<dl><dt>DIR_NPLCM</dt>
<dd>File path to the folder containing posterior samples</dd>
<dt>stratum_bool</dt>
<dd>a vector of TRUE/FALSE with TRUE indicating the rows of subjects to include</dd>
<dt>case</dt>
<dd>1 for plotting cases, 0 for plotting controls; default to 0.</dd>
<dt>slice</dt>
<dd>integer; specifies which slice of bronze-standard data to visualize; Default to 1.</dd>
<dt>truth</dt>
<dd>a list of truths computed from true parameters in simulations; elements:
Eti, FPR, PR_case,TPR; All default to <code>NULL</code> in real data analyses.
Currently only works for one slice of bronze-standard measurements (in a non-nested model).<ul>
<li>truth_subwt matrix of # of rows = # of subjects, # columns: number of true subclasses</li>
</ul></dd>
<dt>RES_NPLCM</dt>
<dd>pre-read res_nplcm; default to NULL.</dd></dl>

Arguments

visualize the subclass weight regression with a continuous covariate — plot_subwt_regression

<dl>

<dt>DIR_NPLCM</dt>
<dd>File path to the folder containing posterior samples</dd>


<dt>stratum_bool</dt>
<dd>a vector of TRUE/FALSE with TRUE indicating the rows of subjects to include</dd>


<dt>case</dt>
<dd>1 for plotting cases, 0 for plotting controls; default to 0.</dd>


<dt>slice</dt>
<dd>integer; specifies which slice of bronze-standard data to visualize; Default to 1.</dd>


<dt>truth</dt>
<dd>a list of truths computed from true parameters in simulations; elements:
Eti, FPR, PR_case,TPR; All default to <code>NULL</code> in real data analyses.
Currently only works for one slice of bronze-standard measurements (in a non-nested model).<ul>
<li>truth_subwt matrix of # of rows = # of subjects, # columns: number of true subclasses</li>
</ul></dd>


<dt>RES_NPLCM</dt>
<dd>pre-read res_nplcm; default to NULL.</dd>

</dl>

plot_subwt_regression: visualize the subclass weight regression with a continuous covariate

Description

Usage

Value

Arguments

See Also