{"package":"RobMixReg","ecosystem":"cran","latest_version":"1.1.0","description":"Robust Mixture Regression. Finite mixture models are a popular technique for modelling unobserved heterogeneity or to approximate general distribution functions in a semi-parametric way. They are used in a lot of different areas such as astronomy, biology, economics, marketing or medicine. This package is the implementation o","license":"GPL","license_risk":"strong_copyleft","commercial_use_notes":"GPL-3.0: derivative works must release source under GPL; includes explicit patent grant.","homepage":"https://changwn.github.io/RobMixReg/","repository":"https://CRAN.R-project.org/package=RobMixReg","downloads_weekly":81,"health":{"score":39,"risk":"critical","breakdown":{"maintenance":0,"popularity":0,"security":25,"maturity":12,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"1.1.0","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2020-08-05 13:44:34","last_published":"2020-08-05T11:00:07+00:00","dependencies_count":16,"dependencies":["flexmix","robustbase","gtools","MASS","methods","robust","lars","dplyr","rlang","scales","gplots","grDevices","graphics","RColorBrewer","stats","glmnet"]},"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 (39/100)"],"use_version":"1.1.0","version_hint":null,"summary":"RobMixReg@1.1.0 low health (39/100) — consider alternatives"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":360,"_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}}