Compute null distribution of metrics

null_distribution_helper(m, n, nn = 10000, metric_name = "average_precision")

Arguments

m

Number of positive examples (= number of replicates - 1)

n

Number of negative examples (= number of controls, or number of non-replicates)

nn

Number of simulations (default = 10000)

metric_name

name of metric. Only "average_precision" is implemented.

Value

Null distribution data frame parametrized by m and n