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

bayeslm

cranv2.0

Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors. Efficient sampling for Gaussian linear regression with arbitrary priors, Hahn, He and Lopes (2018) <doi:10.48550/arXiv.1806.05738>.

License LGPL (>= 2)0 versions1 maintainers7 deps134 weekly dl
JingyuHe/bayeslm
55
/ 100
Health
safe to use

[email protected] is safe to use (health: 55/100)

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

Health History

Dependency Tree

License Audit

Dependencies (7)
RcppstatsgraphicsgrDevicescodamethodsRcppParallel
API access

Get this data programmatically — free, no authentication.

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

First published · 2026-04-03 22:02:32

Last updated · 2026-04-03T20:50:26+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