Nothing

```
#' Obtain weights as posterior probabilities to calculate the consensus null
#'
#' @param logDensPerm A matrix with B rows of logged density estimates of the B
#' permutation distributions, and p columns for the p observed test
#' statistics
#' @param fdr A vector of local false discovery rates for the observed tests
#' statistics of length p
#'
#' @return A vector of weights of length B
calcWeights = function(logDensPerm, fdr){
weights = exp(stabExp(colSums(logDensPerm*fdr)))
weights/sum(weights)
}
```

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