get_direct_bias

Obtain direct bias that measure the discrepancy of a posterior
distribution of pie and a true pie.

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

get_direct_bias function

<dl><dt>DIR_list</dt>
<dd>The list of where Bayesian results are stored</dd>
<dt>truth</dt>
<dd>True etiologic fraction vector (must sum to 1) used to generate data;
Default is <code>NULL</code>. If a vector is supplied, then only the first path in <code>DIR_LIST</code>
is used.</dd>
<dt>silent</dt>
<dd>Default is FALSE. To suppress printing messages, set to TRUE.</dd></dl>

Arguments

Obtain direct bias that measure the discrepancy of a posterior
distribution of pie and a true pie. — get_direct_bias

<dl>

<dt>DIR_list</dt>
<dd>The list of where Bayesian results are stored</dd>


<dt>truth</dt>
<dd>True etiologic fraction vector (must sum to 1) used to generate data;
Default is <code>NULL</code>. If a vector is supplied, then only the first path in <code>DIR_LIST</code>
is used.</dd>


<dt>silent</dt>
<dd>Default is FALSE. To suppress printing messages, set to TRUE.</dd>

</dl>

get_direct_bias: Obtain direct bias that measure the discrepancy of a posterior distribution of pie and a true pie.

Description

Usage

Value

Arguments