{"package":"logcondens","ecosystem":"cran","latest_version":"2.1.9","description":"Estimate a Log-Concave Probability Density from Iid Observations. Given independent and identically distributed observations X(1), ..., X(n), compute the maximum likelihood estimator (MLE) of a density as well as a smoothed version of it under the assumption that the density is log-concave, see Rufibach (2007) and Duembgen and Rufibach (2009). The main function of","license":"GPL (>= 2)","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"http://www.kasparrufibach.ch","repository":"https://CRAN.R-project.org/package=logcondens","downloads_weekly":1703,"health":{"score":58,"risk":"high","breakdown":{"maintenance":25,"popularity":6,"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":"2.1.9","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2026-04-26 17:23:40","last_published":"2026-04-26T16:00:03+00:00","dependencies_count":3,"dependencies":["ks","graphics","stats"]},"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":"2.1.9","version_hint":null,"summary":"logcondens@2.1.9 is safe to use (health: 58/100)"},"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}}