Likelihood.Model

C 68 completed
Library
unknown / html · small
246
Files
23,308
LOC
0
Frameworks
8
Languages

Pipeline State

completed
Run ID
#372441
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
43.00
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47585
Member of a group with 1 similar repo(s) — canonical #57145 view group →
Top concepts (2)
Project DescriptionDocumentation
Repobility · MCP-ready · https://repobility.com

AI Prompt

Create a statistical inference framework in R, similar to the `likelihood.model` package. I need the ability to specify likelihood models for standard or custom distributions. The core functionality should allow users to estimate parameters using maximum likelihood, supporting both analytical and numerical derivatives. Crucially, it must handle censored data—specifically left, right, and interval censoring—naturally within the likelihood framework. I also need functions to quantify evidence, calculate likelihood intervals, and compare evidence between different parameter sets.
r statistics statistical-inference likelihood modeling data-analysis r-package
Generated by gemma4:latest

Catalog Information

The likelihood.model project provides a statistical inference framework in the Fisherian tradition for R, allowing users to specify, estimate, and quantify evidence using likelihood functions.

Description

This package makes it easy to work with likelihood-based statistical inference in R. It allows users to specify likelihood models for standard distributions or custom observation types, estimate parameters via maximum likelihood, and quantify evidence using the likelihood function directly. The package also supports handling censored data as a natural part of the likelihood framework.

الوصف

هذا الحزمة يجعل من السهل العمل مع التوقع الإحصائي في R. يسمح للمستخدمين بتعريف أنماط التوقع للنظم القياسية أو النوعات المخصصة، وتقدير المعلمات عن طريق أقصى احتمال، وقياس الأدلة باستخدام وظيفة التوقع مباشرة. كما يدعم الحزمة التعامل مع البيانات المشوهة كجزء طبيعي من إطار عمل التوقع.

Novelty

7/10

Tags

statistical-inference likelihood-based fisherian-tradition r-language censored-data maximum-likelihood

Claude Models

claude-opus-4.6

Quality Score

C
67.9/100
Structure
67
Code Quality
50
Documentation
70
Testing
65
Practices
78
Security
100
Dependencies
50

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • 1 files with critical complexity need refactoring
  • 317 duplicate lines detected \u2014 consider DRY refactoring

Recommendations

  • Add a linter configuration to enforce code style consistency

Security & Health

6.8h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
Unknown
License
39.5%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

html
79.0%
r
14.7%
css
2.2%
javascript
1.5%
markdown
1.4%
xml
0.6%
yaml
0.4%
json
0.2%

Frameworks

None detected

Concepts (2)

Analysis by Repobility (https://repobility.com) · MCP-ready
CategoryNameDescriptionConfidence
About: code-quality intelligence by Repobility · https://repobility.com
auto_descriptionProject DescriptionLikelihood-based statistical inference in the Fisherian tradition for R.80%
auto_categoryDocumentationdocs70%

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1 quality score recorded.

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