{"package":"gamlssx","ecosystem":"cran","latest_version":"1.0.2","description":"Generalized Additive Extreme Value Models for Location, Scale and Shape. Fits generalized additive models for the location, scale and shape parameters of a generalized extreme value response distribution. The methodology is based on Rigby, R.A. and Stasinopoulos, D.M. (2005), <doi:10.1111/j.1467-9876.2005.00510.x> and implemented using functions from the 'gamlss' package","license":"GPL (>= 3)","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://paulnorthrop.github.io/gamlssx/","repository":"https://github.com/paulnorthrop/gamlssx","downloads_weekly":82,"health":{"score":38,"risk":"critical","breakdown":{"maintenance":5,"popularity":0,"security":25,"maturity":6,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"1.0.2","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2025-02-28 19:52:36","last_published":"2025-02-28T18:10:02+00:00","dependencies_count":4,"dependencies":["gamlss","gamlss.dist","nieve","stats"]},"github_stats":{"stars":3,"forks":0,"open_issues":0,"is_archived":false,"pushed_at":"2025-12-25T21:37:50Z","subscribers_count":1},"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 (38/100)"],"use_version":"1.0.2","version_hint":null,"summary":"gamlssx@1.0.2 low health (38/100) — consider alternatives"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":682,"_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}}