{"package":"multilevelcoda","ecosystem":"cran","latest_version":"1.3.3","description":"Estimate Bayesian Multilevel Models for Compositional Data. Implement Bayesian multilevel modelling for compositional data. Compute multilevel compositional data and perform log-ratio transforms at between and within-person levels, fit Bayesian multilevel models for compositional predictors and outcomes, and run post-hoc analyses such as isotemporal substitu","license":"GPL (>= 3)","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://florale.github.io/multilevelcoda/","repository":"https://github.com/florale/multilevelcoda","downloads_weekly":69,"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":"1.3.3","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2025-11-11 09:52:47","last_published":"2025-11-11T08:20:02+00:00","dependencies_count":21,"dependencies":["stats","data.table","compositions","brms","extraoperators","ggplot2","foreach","future","doFuture","abind","graphics","shiny","shinystan","loo","bayesplot","emmeans","plotly","htmltools","bslib","DT","fs"]},"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":"1.3.3","version_hint":null,"summary":"multilevelcoda@1.3.3 is safe to use (health: 42/100)"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":515,"_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}}