{"package":"whatifbandit","ecosystem":"cran","latest_version":"0.3.0","description":"Analyzing Randomized Experiments as Multi-Arm Bandits. Simulates the results of completed randomized controlled trials, as if they had been conducted as adaptive Multi-Arm Bandit (MAB) trials instead. Augmented inverse probability weighted estimation (AIPW), outlined by Hadad et al. (2021) <doi:10.1073/pnas.2014602118>, is used to robustly estimate the ","license":"GPL (>= 3)","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://github.com/Noch05/whatifbandit","repository":"https://github.com/Noch05/whatifbandit","downloads_weekly":58,"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":"0.3.0","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2025-11-03 10:54:04","last_published":"2025-11-03T09:20:02+00:00","dependencies_count":11,"dependencies":["bandit","data.table","dplyr","furrr","ggplot2","lubridate","purrr","randomizr","rlang","tibble","tidyr"]},"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":"0.3.0","version_hint":null,"summary":"whatifbandit@0.3.0 is safe to use (health: 42/100)"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":502,"_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":178,"last_release_days_ago":178,"avg_days_between_releases":null,"release_velocity":"moderate"}}