getG0: Obtain the consensus null
In reconsi: Resampling Collapsed Null Distributions for Simultaneous Inference

Obtain the consensus null

getG0(
  statObs,
  statsPerm,
  z0Quant,
  gridsize,
  maxIter,
  tol,
  estP0args,
  testPargs,
  B,
  p,
  pi0
)

`statObs`	A vector of lenght p with observed test statistics
`statsPerm`	A pxB matrix with permuation z-values
`z0Quant`	a vector of length of quantiles defining the central part R of the distribution. If a single number is supplied, then (z0quant, 1-z0quant) will be used
`gridsize`	An integer, the gridsize for the density estimation
`maxIter`	An integer, the maximum number of iterations in determining R
`tol`	The convergence tolerance.
`estP0args`	A list of arguments passed on to the estP0args() function
`testPargs`	A list of arguments passed on to quantileFun
`B`	an integer, the number of permutations
`p`	an integer, the number of hypotheses
`pi0`	A known fraction of true null hypotheses.

A list with following entries

`PermDensFits`	The permutation density fits
`zSeq`	The support of the kernel for density estimation
`zValsDensObs`	The estimated densities of the observed z-values
`convergence`	A boolean, has the algorithm converged?
`weights`	Vector of length B with weights for the permutation distributions
`fdr`	Estimated local false discovery rate along the support of the kernel
`p0`	The estimated fraction of true null hypotheses
`iter`	The number of iterations
`fitAll`	The consensus null fit