metric_score.pkg_metric_dependencies {riskmetric} | R Documentation |
Score a package for dependencies
Description
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, ...)
Arguments
x |
a |
... |
additional arguments unused |
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))
Value
numeric value between 0
(high number of dependencies) and
1
(low number of dependencies)
Examples
## Not run: metric_score(assess_dependencies(pkg_ref("riskmetric")))
[Package riskmetric version 0.2.4 Index]