{"package":"kosel","ecosystem":"cran","latest_version":"0.0.1","description":"Variable Selection by Revisited Knockoffs Procedures. Performs variable selection for many types of L1-regularised regressions using the revisited knockoffs procedure. This procedure uses a matrix of knockoffs of the covariates independent from the response variable Y. The idea is to determine if a covariate belongs to the model depending on whether it","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://arxiv.org/pdf/1907.03153.pdf","repository":"https://CRAN.R-project.org/package=kosel","downloads_weekly":66,"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":"0.0.1","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2019-07-18 11:56:23","last_published":"2019-07-18T09:44:06+00:00","dependencies_count":2,"dependencies":["glmnet","ordinalNet"]},"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":"0.0.1","version_hint":null,"summary":"kosel@0.0.1 low health (39/100) — consider alternatives"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":359,"_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}}