Scoring method for number of reverse dependencies a package has

Score a package for the number of reverse dependencies it has; regularized Convert the number of reverse dependencies length(x) into a validation score [0,1] $$ 1 / (1 + exp(-0.5 * (sqrt(length(x)) + sqrt(20)))) $$

Usage

score_reverse_dependencies(x)

Arguments

x

number of dependencies

Value

numeric value between 1 (high number of reverse dependencies) and 0 (low number of reverse dependencies)

Details

The scoring function is the classic logistic curve $$ 1 / (1 + exp(-k(x-x[0])) $$ with a square root scale for the number of reverse dependencies \(x = sqrt(length(x))\), sigmoid midpoint is 20 reverse dependencies, ie. \(x[0] = sqrt(15)\), and logistic growth rate of \(k = 0.5\).

$$ 1 / (1 + -0.5 * exp(sqrt(length(x)) - sqrt(20))) $$