summary.nparncpt

print.nparncpt

object,x

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

This package implements method(s) to (approximately
        unbiasedly) estimate 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.

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

Description

Usage

Arguments

Value

References

See Also