{"package":"HRTnomaly","ecosystem":"cran","latest_version":"25.11.22","description":"Historical, Relational, and Tail Anomaly-Detection Algorithms. The presence of outliers in a dataset can substantially bias the results of statistical analyses. To correct for outliers, micro edits are manually performed on all records. A set of constraints and decision rules is typically used to aid the editing process. However, straightforward decision rules ","license":"AGPL-3","license_risk":"network_copyleft","commercial_use_notes":"AGPL-3.0: blocks closed-source SaaS — network use = distribution. Requires source disclosure to users.","homepage":"https://cran.r-project.org/package=HRTnomaly","repository":"https://CRAN.R-project.org/package=HRTnomaly","downloads_weekly":59,"health":{"score":42,"risk":"high","breakdown":{"maintenance":15,"popularity":0,"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":"25.11.22","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2025-11-25 11:53:06","last_published":"2025-11-25T10:32:22+00:00","dependencies_count":3,"dependencies":["dplyr","purrr","tidyr"]},"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":"25.11.22","version_hint":null,"summary":"HRTnomaly@25.11.22 is safe to use (health: 42/100)"},"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}}