LBBNN

cranv0.1.5

Latent Binary Bayesian Neural Networks Using 'torch'. Latent binary Bayesian neural networks (LBBNNs) are implemented using 'torch', an R interface to the LibTorch backend. Supports mean-field variational inference as well as flexible variational posteriors using normalizing flows. The standard LBBNN implementation follows Hubin and Storvik (2024) <doi

License MIT + file LICENSE0 versions1 maintainers5 deps159 weekly dl
https://CRAN.R-project.org/package=LBBNN
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

API access

Get this data programmatically — free, no authentication.

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

First published · 2026-04-23 11:43:52

Last updated · 2026-04-23T09:40:08+00:00