dt.lap

A numeric vector of noncentrality parameters

logical; if <code>TRUE</code>, log densities are returned

character. If <code>central</code>, the normalization is such that the approxiamtion is exact when <code>ncp=0</code>. 
  If <code>integral</code>, numerical integration is performed such that the density integrate to 1 (not implemented yet). 
  If <code></code>

normalize

Laplace approximation to noncentral t-density

distribution

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.

dt.lap: Laplace approximation to the noncentral t-density

Description

Usage

Arguments

Value

References

See Also