depscope
Packages
IntegrateAPI DocsCuratorBenchmarkCoverage
Sign inGet API access
depscope/cran/kendallknight

kendallknight

cranv1.0.1

Efficient Implementation of Kendall's Correlation Coefficient Computation. The computational complexity of the implemented algorithm for Kendall's correlation is O(n log(n)), which is faster than the base R implementation with a computational complexity of O(n^2). For small vectors (i.e., less than 100 observations), the time difference is negligible. However, for larger v

License Apache License (>= 2)0 versions1 maintainers1 deps121 weekly dl
pachadotdev/kendallknight
45
/ 100
Health
safe to use

[email protected] is safe to use (health: 45/100)

Health breakdown0 – 100
15/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

Dependencies (1)
stats
API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/cran/kendallknight

First published · 2025-12-11 11:45:17

Last updated · 2025-12-11T05:10:20+00:00

DepScope

Package intelligence for AI agents. 19 ecosystems.

Resources
API DocumentationHallucination BenchmarkFor EnterpriseSwagger / OpenAPIPopular PackagesCoverageAI Plugin SetupWatch the pitch (60s)
Legal
Legal hubPrivacy PolicyTerms of ServiceCookie PolicyAcceptable UseAttributionDPASub-processorsSecurityImprintContact中文
© 2026 Cuttalo srl — Italy · VAT IT03242390734Built for AI agents