{"package":"r-mmrm","ecosystem":"conda","latest_version":"0.3.17","description":"Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see Cnaan, Laird and Slasor (1997) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E> for a tutorial and Mallinckrodt, Lane, Schnell, Peng and Mancuso (2008) <doi:10.1177/009286150804200402> for a review. This package implements MMRM based on the marginal linear model without random effects using Template Model Builder ('TMB') which enables fast and robust model fitting. Users can specify a variety of covariance matrices, weight observations, fit models with restricted or standard maximum likelihood inference, perform hypothesis testing with Satterthwaite or Kenward-Roger adjustment, and extract least square means estimates by using 'emmeans'.","license":"Apache-2.0","license_risk":"permissive","commercial_use_notes":"Permissive: commercial closed-source use OK; preserve the copyright notice.","homepage":"https://openpharma.github.io/mmrm/","repository":"https://github.com/openpharma/mmrm","downloads_weekly":121,"health":{"score":53,"risk":"high","breakdown":{"maintenance":20,"popularity":3,"security":25,"maturity":3,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"0.3.17","total_count":2,"recent":["0.3.16","0.3.17"]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2026-02-12 08:50:20.324000+00:00","last_published":"2026-02-12 20:54:54.024000+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":"0.3.17","version_hint":null,"summary":"r-mmrm@0.3.17 is safe to use (health: 53/100)"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":430,"_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},"co_used_with":[{"package":"aasmessenger-server","occurrences":1}],"version_history_summary":{"total_versions":2,"first_release_age_days":79,"last_release_days_ago":78,"avg_days_between_releases":79,"release_velocity":"active"}}