get_metric

The result is equivalent to Euclidean-type calculation after the
compositional vector (e.g., etiologic fraction) is centered-log-ratio (CLRB) transformed.
For simulation only.

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_metric function

<dl><dt>DIR_NPLCM</dt>
<dd>File path where Bayesian results are stored</dd>
<dt>truth</dt>
<dd>True etiologic fraction vector (must sum to 1)
used to generate data</dd></dl>

Arguments

Obtain Integrated Squared Aitchison Distance, Squared Bias and Variance (both on
Central Log-Ratio transformed scale) that measure the discrepancy of a posterior
distribution of pie and a true pie. — get_metric

<dl>

<dt>DIR_NPLCM</dt>
<dd>File path where Bayesian results are stored</dd>


<dt>truth</dt>
<dd>True etiologic fraction vector (must sum to 1)
used to generate data</dd>

</dl>

Obtain Integrated Squared Aitchison Distance, Squared Bias and Variance (both on
Central Log-Ratio transformed scale) that measure the discrepancy of a posterior
distribution of pie and a true pie.

get_metric: Obtain Integrated Squared Aitchison Distance, Squared Bias and Variance (both on Central Log-Ratio transformed scale) that measure the discrepancy of a posterior distribution of pie and a true pie.

Description

Usage

Value

Arguments