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

pqrBayes

cranv1.2.2

Bayesian Penalized Quantile Regression. Bayesian regularized quantile regression utilizing two major classes of shrinkage priors (the spike-and-slab priors and the horseshoe family of priors) leads to efficient Bayesian shrinkage estimation, variable selection and valid statistical inference. In this package, we have implemented robust Ba

License GPL-2strong copyleft0 versions1 maintainers4 deps158 weekly dl
cenwu/pqrBayes
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 (4)
Rcppglmnetsplinesstats
API access

Get this data programmatically — free, no authentication.

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

First published · 2026-04-30 07:53:51

Last updated · 2026-04-30T06:10:02+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