{"package":"SNSeg","ecosystem":"cran","latest_version":"1.0.3","description":"Self-Normalization(SN) Based Change-Point Estimation for Time Series. Implementations self-normalization (SN) based algorithms for change-points estimation in time series data. This comprises nested local-window algorithms for detecting changes in both univariate and multivariate time series developed in Zhao, Jiang and Shao (2022) <doi:10.1111/rssb.12552>.","license":"GPL (>= 3)","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://cran.r-project.org/package=SNSeg","repository":"https://CRAN.R-project.org/package=SNSeg","downloads_weekly":165,"health":{"score":41,"risk":"high","breakdown":{"maintenance":5,"popularity":3,"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":"1.0.3","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2024-06-02 22:49:57","last_published":"2024-06-02T19:10:02+00:00","dependencies_count":5,"dependencies":["stats","utils","graphics","Rcpp","mvtnorm"]},"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":"1.0.3","version_hint":null,"summary":"SNSeg@1.0.3 is safe to use (health: 41/100)"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":377,"_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}}