dt.lap

A numeric vector of quantiles

A numeric vector of degrees of freedom

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>none</code>, no normalization is performed.

normalize

currently not used.

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Laplace approximation to noncentral t-density

 distribution

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.

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

Description

Usage

Arguments

Value

References

See Also