{"package":"Certara.RsNLME","ecosystem":"cran","latest_version":"3.1.1","description":"Pharmacometric Modeling. Facilitate Pharmacokinetic (PK) and Pharmacodynamic (PD) modeling and simulation with powerful tools for Nonlinear Mixed-Effects (NLME) modeling. The package provides access to the same advanced Maximum Likelihood algorithms used by the NLME-Engine in the Phoenix platform. These tools support a rang","license":"LGPL-3","license_risk":"weak_copyleft","commercial_use_notes":"LGPL: dynamic linking from closed-source is OK; static linking triggers source disclosure.","homepage":"https://certara.github.io/R-RsNLME/","repository":"https://CRAN.R-project.org/package=Certara.RsNLME","downloads_weekly":164,"health":{"score":50,"risk":"high","breakdown":{"maintenance":20,"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":"3.1.1","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2026-03-18 06:43:25","last_published":"2026-03-18T05:13:33+00:00","dependencies_count":8,"dependencies":["xml2","assertthat","Certara.NLME8","data.table","jsonlite","methods","utils","ssh"]},"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":"safe_to_use","issues":[],"use_version":"3.1.1","version_hint":null,"summary":"Certara.RsNLME@3.1.1 is safe to use (health: 50/100)"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":336,"_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},"version_history_summary":{"total_versions":1,"first_release_age_days":45,"last_release_days_ago":45,"avg_days_between_releases":null,"release_velocity":"active"}}