Is r-rcppdpr safe to use?

r-rcppdpr has no known vulnerabilities on the latest version (0.1.10). DepScope rates its health at 43/100 (high risk).

What is the latest version of r-rcppdpr?

The latest version of r-rcppdpr is 0.1.10, released 2025-09-20.

Does r-rcppdpr have known vulnerabilities?

No known vulnerabilities on the latest version of r-rcppdpr.

Is r-rcppdpr deprecated?

No, r-rcppdpr is actively maintained. Latest release: 0.1.10 (2025-09-20).

What are alternatives to r-rcppdpr?

DepScope has no curated alternatives for r-rcppdpr at this time.

What license does r-rcppdpr use?

r-rcppdpr is licensed under GPL-3.0-only.

r-rcppdpr

condav0.1.10

'Rcpp' reimplementation of the the Bayesian non-parametric Dirichlet Process Regression model for penalized regression first published in Zeng and Zhou (2017) <doi:10.1038/s41467-017-00470-2>. A full Bayesian version is implemented with Gibbs sampling, as well as a faster but less accurate variational Bayes approximation.

License GPL-3.0-only1 versions1 maintainers0 deps79 weekly dl

/ 100

Health

use with caution

[email protected] low health (43/100) — consider alternatives

Moderate health score (43/100) — verify manually

Health breakdown0 – 100

10/25

maintenance

0/20

popularity

25/25

security

6/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

API access

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curl https://depscope.dev/api/check/conda/r-rcppdpr

First published · 2025-04-22 22:18:39.016000+00:00

Last updated · 2025-09-20 21:36:38.172000+00:00