{"package":"r-clusterses","ecosystem":"conda","latest_version":"2.6.5","description":"Calculate p-values and confidence intervals using cluster-adjusted t-statistics (based on Ibragimov and Muller (2010) <DOI:10.1198/jbes.2009.08046>, pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller (2008) <DOI:10.1162/rest.90.3.414>. Procedures are included for use with GLM, ivreg, plm (pooling or fixed effects), and mlogit models.","license":"GPL-2.0-or-later","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://CRAN.R-project.org/package=clusterSEs","repository":"","downloads_weekly":223,"health":{"score":52,"risk":"high","breakdown":{"maintenance":10,"popularity":3,"security":25,"maturity":12,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"2.6.5","total_count":4,"recent":["2.6.1","2.6.2","2.6.4","2.6.5"]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2021-03-05 08:39:58.190000+00:00","last_published":"2025-09-19 10:49:20.900000+00:00","dependencies_count":0,"dependencies":[]},"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":"2.6.5","version_hint":null,"summary":"r-clusterses@2.6.5 is safe to use (health: 52/100)"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":340,"_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},"version_history_summary":{"total_versions":4,"first_release_age_days":1882,"last_release_days_ago":223,"avg_days_between_releases":627,"release_velocity":"moderate"}}