{"package":"ggmcmc","ecosystem":"cran","latest_version":"1.5.1.2","description":"Tools for Analyzing MCMC Simulations from Bayesian Inference. Tools for assessing and diagnosing convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from full MCMC analysis. The package also facilitates the graphical interpretation of models by providing flexible functions to plot the results against observed variabl","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":"http://xavier-fim.net/packages/ggmcmc/","repository":"https://github.com/xfim/ggmcmc/","downloads_weekly":701,"health":{"score":40,"risk":"high","breakdown":{"maintenance":10,"popularity":3,"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":"1.5.1.2","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2025-10-03 18:06:13","last_published":"2025-10-02T12:50:08+00:00","dependencies_count":5,"dependencies":["dplyr","tidyr","ggplot2","GGally","MASS"]},"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":"safe_to_use","issues":[],"use_version":"1.5.1.2","version_hint":null,"summary":"ggmcmc@1.5.1.2 is safe to use (health: 40/100)"},"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}}