    nparncpp.iter     

estimates

iter

weights

Either <code>NULL</code> or an <code>environment</code>. If non-null, the computed computed conditional CDF will be saved <code>keep.cdf</code>. See <code><a rd-options="" href="/link/cond.cdf?package=pi0&version=1.4-1" data-mini-rdoc="pi0::cond.cdf">cond.cdf</a></code>.

keep.cdf

other arguments to <code>nparncpp</code>

&#8230;

A wrapper to iteratively call the <code><a rd-options="" href="/link/nparncpp?package=pi0&version=1.4-1" data-mini-rdoc="pi0::nparncpp">nparncpp</a></code> function

smooth

   nparncpp.iter       

Methods for estimating the proportion of true null hypotheses, i.e., the pi0, when a very large number of hypotheses are simultaneously tested, especially for the purpose of (local) false discovery rate control for microarray data. It also contains functions to estimate the distribution of noncentrality parameters from a large number of parametric tests.

Long Qu

Estimating the Proportion of True Null Hypotheses for FDR

Kun Liang

Yudi Pawitan

Alexander Ploner

Egil Ferkingstad

Mette Langaas

Marcus Davy

   nparncpp.iter        function

Either <code>NULL</code> or an <code>environment</code>. If non-null, the computed computed conditional CDF will be saved <code>keep.cdf</code>. See <code><a rd-options='' href='cond.cdf'>cond.cdf</a></code>.

A wrapper to iteratively call the <code><a rd-options='' href='nparncpp'>nparncpp</a></code> function

nparncpp.iter : iterative call to the nparncpp function

Description

Usage

Arguments

Value

References