{"package":"HistDAWass","ecosystem":"cran","latest_version":"1.0.8","description":"Histogram-Valued Data Analysis. In the framework of Symbolic Data Analysis, a relatively new approach to the statistical analysis of multi-valued data, we consider histogram-valued data, i.e., data described by univariate histograms. The methods and the basic statistics for histogram-valued data are mainly based on the L2 Wasserst","license":"GPL (>= 2)","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://cran.r-project.org/package=HistDAWass","repository":"https://CRAN.R-project.org/package=HistDAWass","downloads_weekly":120,"health":{"score":36,"risk":"critical","breakdown":{"maintenance":0,"popularity":3,"security":25,"maturity":6,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"1.0.8","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2024-01-24 19:03:20","last_published":"2024-01-24T16:42:31+00:00","dependencies_count":12,"dependencies":["methods","graphics","class","FactoMineR","ggplot2","ggridges","grid","histogram","grDevices","stats","utils","Rcpp"]},"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":"use_with_caution","issues":["Low health score (36/100)"],"use_version":"1.0.8","version_hint":null,"summary":"HistDAWass@1.0.8 low health (36/100) — consider alternatives"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":289,"_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}}