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

In pi0: Estimating the proportion of true null hypotheses for FDR

Description

Laplace approximation to noncentral t-density

Usage

dt.lap(x, df, ncp = 0, log = FALSE, normalize = c("central", 
      "integral", "none"), ...)

Arguments

x	A numeric vector of quantiles
df	A numeric vector of degrees of freedom
ncp	A numeric vector of noncentrality parameters
log	logical; if TRUE, log densities are returned
normalize	character. If central, the normalization is such that the approxiamtion is exact when ncp=0. If integral, numerical integration is performed such that the density integrate to 1 (not implemented yet). If none, no normalization is performed.
...	currently not used.

Value

numeric vector of densities

Author(s)

Long Qu

References

Young, G.A. and Smith R.L. 2005. Essentials of statistical inference. Cambridge University Press. Cambridge, UK.

See Also

dt.int2, dt.sad, dt

pi0 documentation built on May 2, 2019, 4:47 p.m.