Is BayesMallowsSMC2 safe to use?

BayesMallowsSMC2 has no known vulnerabilities on the latest version (0.2.1). DepScope rates its health at 47/100 (high risk).

What is the latest version of BayesMallowsSMC2?

The latest version of BayesMallowsSMC2 is 0.2.1, released 2026-02-04.

Does BayesMallowsSMC2 have known vulnerabilities?

No known vulnerabilities on the latest version of BayesMallowsSMC2.

Is BayesMallowsSMC2 deprecated?

No, BayesMallowsSMC2 is actively maintained. Latest release: 0.2.1 (2026-02-04).

What are alternatives to BayesMallowsSMC2?

DepScope has no curated alternatives for BayesMallowsSMC2 at this time.

What license does BayesMallowsSMC2 use?

BayesMallowsSMC2 is licensed under GPL-3.

BayesMallowsSMC2

cranv0.2.1

Nested Sequential Monte Carlo for the Bayesian Mallows Model. Provides nested sequential Monte Carlo algorithms for performing sequential inference in the Bayesian Mallows model, which is a widely used probability model for rank and preference data. The package implements the SMC2 (Sequential Monte Carlo Squared) algorithm for handling sequentially arriving ra

License GPL-3strong copyleft0 versions1 maintainers3 deps60 weekly dl

https://CRAN.R-project.org/package=BayesMallowsSMC2

/ 100

Health

safe to use

[email protected] is safe to use (health: 47/100)

Health breakdown0 – 100

20/25

maintenance

0/20

popularity

25/25

security

0/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (3)

Rcpp ggplot2 Rdpack

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/cran/BayesMallowsSMC2

First published · 2026-02-04 16:27:29

Last updated · 2026-02-04T14:50:10+00:00