{"package":"r-ordinal","ecosystem":"conda","latest_version":"2023.12_4.1","description":"Implementation of cumulative link (mixed) models also known as ordered regression models, proportional odds models, proportional hazards models for grouped survival times and ordered logit/probit/... models. Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation and adaptive Gauss-Hermite quadrature. Multiple random effect terms are allowed and they may be nested, crossed or partially nested/crossed. Restrictions of symmetry and equidistance can be imposed on the thresholds (cut-points/intercepts). Standard model methods are available (summary, anova, drop-methods, step, confint, predict etc.) in addition to profile methods and slice methods for visualizing the likelihood function and checking convergence.","license":"GPL-2.0-or-later","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://github.com/runehaubo/ordinal","repository":"","downloads_weekly":559,"health":{"score":54,"risk":"high","breakdown":{"maintenance":15,"popularity":3,"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":"2023.12_4.1","total_count":7,"recent":["2018.8_25","2019.4_25","2019.12_10","2022.11_16","2023.12_4","2023.12_4.1","2025.12_29"]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2021-05-25 11:21:48.663000+00:00","last_published":"2026-01-10 17:19:19.274000+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":"use_with_caution","issues":["Moderate health score (54/100) — verify manually"],"use_version":"2023.12_4.1","version_hint":null,"summary":"r-ordinal@2023.12_4.1 low health (54/100) — consider alternatives"},"version_scoped":null,"_meta":{"endpoint":"check","tier":"full","philosophy":"DepScope is free. Use the cheapest endpoint that answers your real question.","cheaper_alternatives":[{"endpoint":"/api/exists/conda/r-ordinal","tokens_estimated":12,"use_when":"you only need to know if the package exists (hallucination guard)"},{"endpoint":"/api/health/conda/r-ordinal","tokens_estimated":80,"use_when":"you only need a 0-100 score for go/no-go (>=70 = safe)"},{"endpoint":"/api/prompt/conda/r-ordinal","tokens_estimated":280,"use_when":"you want a plain-text LLM-friendly brief instead of JSON"},{"endpoint":"POST /api/check_bulk","tokens_estimated":60,"use_when":"you have 5+ packages to check; sends one round-trip instead of N"}],"docs":"https://depscope.dev/integrate","hint_bulk":"You've called /api/check 14 times in 60s. Save bandwidth + tokens with POST /api/check_bulk (1 round-trip for N pkgs)."},"requested_version":null,"_cache":"miss","_response_ms":601,"_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":7,"first_release_age_days":1803,"last_release_days_ago":112,"avg_days_between_releases":300,"release_velocity":"moderate"}}