summary.nparncpt

print.nparncpt

an object of class <code>nparncpt</code>

object,x

currently not used

&#8230;

Print summary for an object of class <code>nparncpt</code>. This includes the estimated proportion of true null hypotheses (<code>pi0</code>),
estimated mean of noncentrality parameters (<code>mu.ncp</code>), estimated standard deviation of noncentrality parameters (<code>sd.ncp</code>), 
the estimated effective number of parameters (<code>enp</code>), and the tuning parameter (<code>lambda</code>) that controls the amount of smoothing.

 methods 

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

summary.nparncpt function

Print summary for an object of class nparncp — summary.nparncpt

Print summary for an object of class nparncp

summary.nparncpt: Print summary for an object of class nparncp

Description

Usage

Arguments

Value

References

See Also