Compute null distribution of metrics
null_distribution_helper(m, n, nn = 10000, metric_name = "average_precision")
Number of positive examples (= number of replicates - 1)
Number of negative examples (= number of controls, or number of non-replicates)
Number of simulations (default = 10000)
name of metric. Only "average_precision"
is implemented.
Null distribution data frame parametrized by m and n