insert_bugfile_chunk_reg_nonest_meas

Insert measurement likelihood (with regression) code chunks into .bug model 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

insert_bugfile_chunk_reg_nonest_meas function

<dl><dt>Mobs</dt>
<dd>Measurement data in the form of <code>data_nplcm</code></dd>
<dt>prior</dt>
<dd>Prior specification from <code>model_options</code></dd>
<dt>cause_list</dt>
<dd>A list of latent status names (crucial for building templates;
see <code>make_template()</code>)</dd>
<dt>FPR_formula</dt>
<dd>A list of FPR regression formula; check <code>model_options$likelihood$FPR_formula</code></dd>
<dt>use_measurements</dt>
<dd>"BrS", or "SS"</dd>
<dt>ppd</dt>
<dd>Default is NULL; set to TRUE for posterior predictive checking</dd>
<dt>use_jags</dt>
<dd>Default is FALSE; set to TRUE if want to use JAGS for model fitting.</dd></dl>

Arguments

Insert measurement likelihood (with regression) code chunks into .bug model file — insert_bugfile_chunk_reg_nonest_meas

<dl>

<dt>Mobs</dt>
<dd>Measurement data in the form of <code>data_nplcm</code></dd>


<dt>prior</dt>
<dd>Prior specification from <code>model_options</code></dd>


<dt>cause_list</dt>
<dd>A list of latent status names (crucial for building templates;
see <code>make_template()</code>)</dd>


<dt>FPR_formula</dt>
<dd>A list of FPR regression formula; check <code>model_options$likelihood$FPR_formula</code></dd>


<dt>use_measurements</dt>
<dd>"BrS", or "SS"</dd>


<dt>ppd</dt>
<dd>Default is NULL; set to TRUE for posterior predictive checking</dd>


<dt>use_jags</dt>
<dd>Default is FALSE; set to TRUE if want to use JAGS for model fitting.</dd>

</dl>

insert_bugfile_chunk_reg_nonest_meas: Insert measurement likelihood (with regression) code chunks into .bug model file

Description

Usage

Value

Arguments

See Also