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

sparsepca

cranv0.1.2

Sparse Principal Component Analysis (SPCA). Sparse principal component analysis (SPCA) attempts to find sparse weight vectors (loadings), i.e., a weight vector with only a few 'active' (nonzero) values. This approach provides better interpretability for the principal components in high-dimensional data settings. This is, because the principal

License GPL (>= 3)0 versions1 maintainers1 deps1,413 weekly dl
erichson/spca
45
/ 100
Health
safe to use

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

Health breakdown0 – 100
0/25
maintenance
6/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

Dependencies (1)
rsvd
API access

Get this data programmatically — free, no authentication.

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

First published · 2018-04-11 08:20:19

Last updated · 2018-04-11T07:17:42+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