getFDR

This function is especially useful in the context of genetic data.

Tools for the analysis of finite semiparametric mixtures.
These are useful when data is heterogeneous, e.g. in
pharmacokinetics or meta-analysis. The NPMLE and VEM algorithms
(flexible support size) and EM algorithms (fixed support size)
are provided for univariate (Bohning et al., 1992;
<doi:10.2307/2532756>) and bivariate data (Schlattmann et
al., 2015; <doi:10.1016/j.jclinepi.2014.08.013>).

Philipp Doebler

CAMAN

Finite Mixture Models and Meta-Analysis Tools - Based on C.A.MAN

getFDR function

<dl> <dt>dat</dt>
<dd>A mixture, i.e. a <code>CAMAN.object</code>.</dd> <dt>threshold</dt>
<dd>numeric, should be between 0 and 1 to be meaningful.</dd> <dt>idxNotDiff</dt>
<dd>integer, index of component for which computations are required.</dd></dl>

Arguments

Peter Schlattmann and Johannes Hoehne

Author

Compute false discovery rates and related statistics — getFDR

<dl>

 <dt>dat</dt>
<dd>A mixture, i.e. a <code>CAMAN.object</code>.</dd>

 <dt>threshold</dt>
<dd>numeric, should be between 0 and 1 to be meaningful.</dd>

 <dt>idxNotDiff</dt>
<dd>integer, index of component for which computations are required.</dd>

</dl>

getFDR: Compute false discovery rates and related statistics

Description

Usage

Value

Arguments

Author

Details

References