s_date_FPR

<code>s_date_FPR</code> creates design matrices for FPR regressions;

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

s_date_FPR function

<dl><dt>Rdate</dt>
<dd>a vector of dates of R format</dd>
<dt>Y</dt>
<dd>Binary case/control status; 1 for case; 0 for controls</dd>
<dt>basis</dt>
<dd>"ps" for penalized-splines based
on B-spline basis functions</dd>
<dt>dof</dt>
<dd>Degree-of-freedom for the bases.For "ps" basis,
the number of columns is <code>dof</code>
if <code>intercept=TRUE</code>; <code>dof-1</code> if <code>FALSE</code>.</dd>
<dt>...</dt>
<dd>Other arguments as in <code><a href="/link/splines%3A%3Abs()?package=baker&version=1.0.4" data-mini-rdoc="baker::splines::bs()">splines::bs()</a></code></dd></dl>

Arguments

Make false positive rate (FPR) design matrix for dates with R format. — s_date_FPR

<dl>

<dt>Rdate</dt>
<dd>a vector of dates of R format</dd>


<dt>Y</dt>
<dd>Binary case/control status; 1 for case; 0 for controls</dd>


<dt>basis</dt>
<dd>"ps" for penalized-splines based
on B-spline basis functions</dd>


<dt>dof</dt>
<dd>Degree-of-freedom for the bases.For "ps" basis,
the number of columns is <code>dof</code>
if <code>intercept=TRUE</code>; <code>dof-1</code> if <code>FALSE</code>.</dd>


<dt>...</dt>
<dd>Other arguments as in <code><a href='https://rdrr.io/r/splines/bs.html'>splines::bs()</a></code></dd>

</dl>

s_date_FPR: Make false positive rate (FPR) design matrix for dates with R format.

Description

Usage

Value

Arguments

See Also

Examples