{"package":"lira","ecosystem":"cran","latest_version":"2.0.1","description":"LInear Regression in Astronomy. Performs Bayesian linear regression and forecasting in astronomy. The method accounts for heteroscedastic errors in both the independent and the dependent variables, intrinsic scatters (in both variables) and scatter correlation, time evolution of slopes, normalization, scatters, Malmquist and Eddin","license":"GPL-2","license_risk":"strong_copyleft","commercial_use_notes":"GPL-2.0: derivative works must release source under GPL; static linking forces disclosure.","homepage":"https://cran.r-project.org/package=lira","repository":"https://CRAN.R-project.org/package=lira","downloads_weekly":86,"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":"2.0.1","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2018-02-06 14:26:32","last_published":"2018-02-06T13:19:28+00:00","dependencies_count":2,"dependencies":["coda","rjags"]},"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":"2.0.1","version_hint":null,"summary":"lira@2.0.1 low health (39/100) — consider alternatives"},"version_scoped":null,"requested_version":null,"_cache":"hit","_response_ms":0,"_powered_by":"depscope.dev — free package intelligence for AI agents","typosquat":{"is_suspected":true,"targets":[{"legitimate_package":"lava","distance":2,"reason":"adjacent_swap_or_double"}]},"maintainer_trust":{"available":false},"malicious":{"is_malicious":false},"scorecard":{"available":false},"quality":{"available":false}}