{"package":"EScvtmle","ecosystem":"cran","latest_version":"0.0.2","description":"Experiment-Selector CV-TMLE for Integration of Observational and RCT Data. The experiment selector cross-validated targeted maximum likelihood estimator (ES-CVTMLE) aims to select the experiment that optimizes the bias-variance tradeoff for estimating a causal average treatment effect (ATE) where different experiments may include a randomized controlled trial (RCT) alone o","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/Lauren-EylerDang/EScvtmle/tree/main","repository":"https://github.com/Lauren-EylerDang/EScvtmle/tree/main","downloads_weekly":73,"health":{"score":36,"risk":"critical","breakdown":{"maintenance":0,"popularity":0,"security":25,"maturity":9,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"0.0.2","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2023-01-05 19:50:43","last_published":"2023-01-05T17:30:02+00:00","dependencies_count":8,"dependencies":["SuperLearner","origami","dplyr","tidyselect","MASS","stringr","ggplot2","gridExtra"]},"bundle":null,"typescript":null,"known_issues":{"bugs_count":0,"bugs_severity":{},"status_breakdown":{},"link":null,"scope":"none"},"historical_compromise":null,"recommendation":{"action":"use_with_caution","issues":["Low health score (36/100)"],"use_version":"0.0.2","version_hint":null,"summary":"EScvtmle@0.0.2 low health (36/100) — consider alternatives"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":630,"_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}}