Score a package for dependencies
Source:R/assess_dependencies.R
metric_score.pkg_metric_dependencies.Rd
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 class 'pkg_metric_dependencies'
metric_score(x, ...)
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")))
# \dontrun{}