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

Riemann

cranv0.1.7

Learning with Data on Riemannian Manifolds. We provide a variety of algorithms for manifold-valued data, including Fréchet summaries, hypothesis testing, clustering, visualization, and other learning tasks. See Bhattacharya and Bhattacharya (2012) <doi:10.1017/CBO9781139094764> for general exposition to statistics on manifolds.

License MIT + file LICENSE0 versions1 maintainers12 deps4,103 weekly dl
https://CRAN.R-project.org/package=Riemann
53
/ 100
Health
safe to use

[email protected] is safe to use (health: 53/100)

Health breakdown0 – 100
20/25
maintenance
6/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

Dependencies (12)
RcppRdpackRiemBaseRdimtoolsT4clusterT4transportDEoptimlpSolveMatrixmaotaistatsutils
API access

Get this data programmatically — free, no authentication.

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

First published · 2026-03-25 05:14:49

Last updated · 2026-03-25T02:40:02+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