{"package":"bigsimr","ecosystem":"cran","latest_version":"0.12.0","description":"Fast Generation of High-Dimensional Random Vectors. Simulate multivariate data with arbitrary marginal distributions. 'bigsimr' is a package for simulating high-dimensional multivariate data with a target correlation and arbitrary marginal distributions via Gaussian copula. It utilizes the Julia package 'Bigsimr.jl' for its core routines.","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://github.com/SchisslerGroup/r-bigsimr","repository":"https://github.com/SchisslerGroup/r-bigsimr","downloads_weekly":70,"health":{"score":33,"risk":"critical","breakdown":{"maintenance":0,"popularity":0,"security":25,"maturity":6,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"0.12.0","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2024-02-21 08:51:23","last_published":"2024-02-21T07:00:06+00:00","dependencies_count":1,"dependencies":["JuliaCall"]},"github_stats":{"stars":2,"forks":0,"open_issues":1,"is_archived":false,"pushed_at":"2024-02-23T19:13:04Z","subscribers_count":1},"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 (33/100)"],"use_version":"0.12.0","version_hint":null,"summary":"bigsimr@0.12.0 low health (33/100) — 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":false},"maintainer_trust":{"available":false},"malicious":{"is_malicious":false},"scorecard":{"available":false},"quality":{"available":false}}