{"package":"r-acepack","ecosystem":"conda","latest_version":"1.6.3","description":"Two nonparametric methods for multiple regression transform selection are provided. The first, Alternative Conditional Expectations (ACE),  is an algorithm to find the fixed point of maximal correlation, i.e. it finds a set of transformed response variables that maximizes R^2 using smoothing functions [see Breiman, L., and J.H. Friedman. 1985. \"Estimating Optimal Transformations for Multiple Regression and Correlation\". Journal of the American Statistical Association. 80:580-598. <doi:10.1080/01621459.1985.10478157>]. Also included is the Additivity Variance Stabilization (AVAS) method which works better than ACE when correlation is low [see Tibshirani, R.. 1986. \"Estimating Transformations for Regression via Additivity and Variance Stabilization\". Journal of the American Statistical Association. 83:394-405.  <doi:10.1080/01621459.1988.10478610>]. A good introduction to these two methods is in chapter 16 of Frank Harrel's \"Regression Modeling Strategies\" in the Springer Series in Statistics.","license":"MIT","license_risk":"permissive","commercial_use_notes":"Permissive: commercial closed-source use OK; preserve the copyright notice.","homepage":"https://CRAN.R-project.org/package=acepack","repository":"","downloads_weekly":1143,"health":{"score":55,"risk":"high","breakdown":{"maintenance":10,"popularity":6,"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":"1.6.3","total_count":7,"recent":["1.4.1","1.4.2","1.5.0","1.5.1","1.5.2","1.6.1","1.6.3"]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2020-10-20 10:34:23.264000+00:00","last_published":"2025-09-17 11:21:49.651000+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":"1.6.3","version_hint":null,"summary":"r-acepack@1.6.3 is safe to use (health: 55/100)"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":663,"_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":7,"first_release_age_days":2020,"last_release_days_ago":227,"avg_days_between_releases":337,"release_velocity":"moderate"}}