calculate_fwer: Calculate the outlier z score corresponding to a given...
In skinnider/modern: Model-free outlier detection for robust network inference

Use Bonferroni correction to calculate the Z score that corresponds to a family-wide error rate at a given alpha.

1	calculate_fwer(mat, alpha = 0.05)

`mat`	a numeric matrix, with nodes (e.g., analytes such as genes, proteins, or metabolites) in columns, and samples in rows
`alpha`	type I error associated with the hypothesis test; defaults to `0.05`

the threshold below which z scores can be considered outliers

skinnider/modern documentation built on Feb. 20, 2020, 1:52 p.m.

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