Fix computation of skewness and kurtosis with MCM. #123
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When `n.MCM` is not NULL, `data.MCM` is a matrix with as many columns as number of Monte Carlo samples: calling `sum()` over it when computating skewness and kurtosis will sum `n * n.MCM` values, so we must divide by `n * n.MCM` to produce the correct expectations. Fixes #122.
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When
n.MCMis not NULL,data.MCMis a matrix with as many columns as number of Monte Carlo samples: callingsum()over it when computating skewness and kurtosis will sumn * n.MCMvalues, so we must divide byn * n.MCMto produce the correct expectations.Fixes #122.