{"package":"n1qn1","ecosystem":"cran","latest_version":"6.0.1-14","description":"Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS Optimization. Provides 'Scilab' 'n1qn1'. This takes more memory than traditional L-BFGS.  The n1qn1 routine is useful since it allows prespecification of a Hessian. If the Hessian is near enough the truth in optimization it can speed up the optimization problem. The algorithm is described in the 'Scilab' optimiza","license":"CeCILL-2","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://nlmixr2.github.io/n1qn1c/","repository":"https://github.com/nlmixr2/n1qn1c","downloads_weekly":427,"health":{"score":55,"risk":"high","breakdown":{"maintenance":25,"popularity":3,"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":"6.0.1-14","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2026-04-06 06:20:17","last_published":"2026-04-06T04:10:29+00:00","dependencies_count":1,"dependencies":["Rcpp"]},"github_stats":{"stars":1,"forks":0,"open_issues":1,"is_archived":false,"pushed_at":"2026-04-08T23:53:53Z","subscribers_count":5},"bundle":null,"typescript":null,"known_issues":{"bugs_count":0,"bugs_severity":{},"status_breakdown":{},"link":null,"scope":"none"},"historical_compromise":null,"recommendation":{"action":"safe_to_use","issues":[],"use_version":"6.0.1-14","version_hint":null,"summary":"n1qn1@6.0.1-14 is safe to use (health: 55/100)"},"version_scoped":null,"requested_version":null,"_cache":"hit","_response_ms":0,"_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}}