metric_score.pkg_metric_reverse_dependencies: Scoring method for number of reverse dependencies a package...

In riskmetric: Risk Metrics to Evaluating R Packages

Scoring method for number of reverse dependencies a package has

Description

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(5))))

Usage

## S3 method for class 'pkg_metric_reverse_dependencies'
metric_score(x, ...)

Arguments

x	a pkg_metric_reverse_dependencies packge metric object
...	additional arguments unused

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 5 reverse dependencies, ie. x[0] = sqrt(5), and logistic growth rate of k = 0.5.

1 / (1 + -0.5 * exp(sqrt(length(x)) - sqrt(5)))

Value

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

Examples

## Not run: metric_score(assess_reverse_dependencies(pkg_ref("riskmetric")))

riskmetric documentation built on May 29, 2024, 7:13 a.m.