make_meas_object

Wrap the information about a particular type of measurement, e.g., NPPCR.
NB: add example! copy some from the vignette file.

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

make_meas_object function

<dl><dt>patho</dt>
<dd>A vector of pathogen names</dd>
<dt>specimen</dt>
<dd>Specimen name</dd>
<dt>test</dt>
<dd>Test name</dd>
<dt>quality</dt>
<dd>Quality category: any of "BrS", "SS" or "GS".</dd>
<dt>cause_list</dt>
<dd>The vector of potential latent status</dd>
<dt>sep_char</dt>
<dd>a character string that separate the pathogen names and the
specimen-test pair; Default to <code>"_"</code></dd></dl>

Arguments

Make measurement slice — make_meas_object

<dl>

<dt>patho</dt>
<dd>A vector of pathogen names</dd>


<dt>specimen</dt>
<dd>Specimen name</dd>


<dt>test</dt>
<dd>Test name</dd>


<dt>quality</dt>
<dd>Quality category: any of "BrS", "SS" or "GS".</dd>


<dt>cause_list</dt>
<dd>The vector of potential latent status</dd>


<dt>sep_char</dt>
<dd>a character string that separate the pathogen names and the
specimen-test pair; Default to <code>"_"</code></dd>

</dl>

make_meas_object: Make measurement slice

Description

Usage

Value

Arguments

See Also

Examples