depscope
Packages
IntegrateAPI DocsCuratorBenchmarkCoverage
Sign inGet API access
depscope/conda/r-isingfit

r-isingfit

condav0.4

This network estimation procedure eLasso, which is based on the Ising model, combines l1-regularized logistic regression with model selection based on the Extended Bayesian Information Criterion (EBIC). EBIC is a fit measure that identifies relevant relationships between variables. The resulting network consists of variables as nodes and relevant relationships as edges. Can deal with binary data.

License GPL-2.0-only2 versions1 maintainers0 deps82 weekly dl
46
/ 100
Health
use with caution

[email protected] low health (46/100) — consider alternatives

  • Moderate health score (46/100) — verify manually
Health breakdown0 – 100
10/25
maintenance
0/20
popularity
25/25
security
9/15
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/conda/r-isingfit

First published · 2021-07-12 19:41:34.743000+00:00

Last updated · 2025-09-24 17:37:35.748000+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