{"package":"MSGARCH","ecosystem":"cran","latest_version":"2.51","description":"Markov-Switching GARCH Models. Fit (by Maximum Likelihood or MCMC/Bayesian), simulate, and forecast various Markov-Switching GARCH models as described in Ardia et al. (2019) <doi:10.18637/jss.v091.i04>.","license":"GPL (>= 2)","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://github.com/keblu/MSGARCH","repository":"https://github.com/keblu/MSGARCH","downloads_weekly":180,"health":{"score":40,"risk":"high","breakdown":{"maintenance":0,"popularity":3,"security":25,"maturity":9,"community":3},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"2.51","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2022-12-05 19:38:35","last_published":"2022-12-05T17:32:30+00:00","dependencies_count":8,"dependencies":["Rcpp","coda","methods","zoo","expm","fanplot","MASS","numDeriv"]},"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":"2.51","version_hint":null,"summary":"MSGARCH@2.51 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}}