{"package":"cointReg","ecosystem":"cran","latest_version":"0.2.0","description":"Parameter Estimation and Inference in a Cointegrating Regression. Cointegration methods are widely used in empirical macroeconomics and empirical finance. It is well known that in a cointegrating regression the ordinary least squares (OLS) estimator of the parameters is super-consistent, i.e. converges at rate equal to the sample size T. When the regressors are en","license":"GPL-3","license_risk":"strong_copyleft","commercial_use_notes":"GPL-3.0: derivative works must release source under GPL; includes explicit patent grant.","homepage":"https://github.com/aschersleben/cointReg","repository":"https://github.com/aschersleben/cointReg","downloads_weekly":179,"health":{"score":42,"risk":"high","breakdown":{"maintenance":0,"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":"0.2.0","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2016-06-14 06:00:35","last_published":"2016-06-14T11:58:42+00:00","dependencies_count":3,"dependencies":["checkmate","MASS","matrixStats"]},"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":"0.2.0","version_hint":null,"summary":"cointReg@0.2.0 is safe to use (health: 42/100)"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":405,"_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":1,"first_release_age_days":3607,"last_release_days_ago":3607,"avg_days_between_releases":null,"release_velocity":"stale"}}