{"package":"ebrahim.gof","ecosystem":"cran","latest_version":"1.0.0","description":"Ebrahim-Farrington Goodness-of-Fit Test for Logistic Regression. Implements the Ebrahim-Farrington goodness-of-fit test for logistic regression models, particularly effective for sparse data and binary outcomes. This test provides an improved alternative to the traditional Hosmer-Lemeshow test by using a modified Pearson chi-square statistic with data-dependent g","license":"GPL-3","license_risk":"strong_copyleft","commercial_use_notes":"GPL-3.0: derivative works must release source under GPL; includes explicit patent grant.","homepage":"https://github.com/ebrahimkhaled/ebrahim.gof","repository":"https://github.com/ebrahimkhaled/ebrahim.gof","downloads_weekly":66,"health":{"score":37,"risk":"critical","breakdown":{"maintenance":10,"popularity":0,"security":25,"maturity":0,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"1.0.0","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2025-09-01 17:51:43","last_published":"2025-09-01T16:10:22+00:00","dependencies_count":1,"dependencies":["stats"]},"github_stats":null,"bundle":null,"typescript":null,"known_issues":{"bugs_count":0,"bugs_severity":{},"status_breakdown":{},"link":null,"scope":"none"},"historical_compromise":null,"recommendation":{"action":"use_with_caution","issues":["Low health score (37/100)"],"use_version":"1.0.0","version_hint":null,"summary":"ebrahim.gof@1.0.0 low health (37/100) — consider alternatives"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":358,"_powered_by":"depscope.dev — free package intelligence for AI agents","typosquat":{"is_suspected":false},"maintainer_trust":{"available":false},"malicious":{"is_malicious":false},"scorecard":{"available":false},"quality":{"available":false}}