{"package":"bayesMRM","ecosystem":"cran","latest_version":"2.4.0","description":"Bayesian Multivariate Receptor Modeling. Bayesian analysis of multivariate receptor modeling. The package consists of implementations of the methods of Park and Oh (2015) <doi:10.1016/j.chemolab.2015.08.021>.The package uses 'JAGS'(Just Another Gibbs Sampler) to generate Markov chain Monte Carlo samples of parameters.","license":"GPL (>= 2)","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://cran.r-project.org/package=bayesMRM","repository":"https://CRAN.R-project.org/package=bayesMRM","downloads_weekly":90,"health":{"score":36,"risk":"critical","breakdown":{"maintenance":0,"popularity":0,"security":25,"maturity":9,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"2.4.0","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2022-12-14 09:02:36","last_published":"2022-12-14T06:30:05+00:00","dependencies_count":9,"dependencies":["rjags","coda","ggplot2","grDevices","graphics","gridExtra","rgl","shiny","shinythemes"]},"github_stats":null,"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 (36/100)"],"use_version":"2.4.0","version_hint":null,"summary":"bayesMRM@2.4.0 low health (36/100) — consider alternatives"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":261,"_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}}