Score a package for dependencies

Calculates a regularized score based on the number of dependencies a package has. Convert the number of dependencies NROW(x) into a validation score [0,1] $$ 1 - 1 / (1 + exp(-0.5 * (NROW(x) + 4))) $$

Usage

# S3 method for pkg_metric_dependencies
metric_score(x, ...)

Arguments

x

a pkg_metric_dependencies packge metric object

...

additional arguments unused

Value

numeric value between 0 (high number of dependencies) and

1 (low number of dependencies)

Details

The scoring function is the classic logistic curve $$ / (1 + exp(-k(x-x[0])) $$ \(x = NROW(x)\), sigmoid midpoint is 5 reverse dependencies, ie. \(x[0] = 4\), and logistic growth rate of \(k = 0.5\).

$$ 1 - 1 / (1 + exp(NROW(x)-4)) $$

Examples

if (FALSE) metric_score(assess_dependencies(pkg_ref("riskmetric")))