Jtna1.2

F 39 completed
Plugin
unknown / r · tiny
26
Files
15,279
LOC
0
Frameworks
3
Languages

Pipeline State

completed
Run ID
#362084
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
70.00
Framework unique
Isolation
Last stage change
2026-05-10 03:35:28
Deduplication group #56312
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionData/ML
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AI Prompt

Create a jamovi module, similar to JTNA, that performs Transition Network Analysis (TNA) on sequential data. I need it to allow users to build transition networks from long-format behavioral data and support multiple model types like relative, frequency, co-occurrence, and attention. The module should include advanced analysis features such as calculating various centrality measures (like OutStrength and Betweenness), detecting communities using methods like Walktrap or Infomap, and performing bootstrap validation to assess edge significance. Finally, it should generate various plots like network plots, histograms, and community visualizations.
r jamovi statistics network-analysis data-science module tna sequential-data
Generated by gemma4:latest

Catalog Information

JTNA is a jamovi module that enables users to perform Transition Network Analysis on sequential data without coding.

Description

JTNA provides a point‑and‑click interface within jamovi for building and analyzing transition networks from long‑format sequential data. It supports multiple model types—relative, frequency, co‑occurrence, and attention—along with configurable scaling and threshold options. Advanced features include centrality calculations, edge betweenness, community detection, clique analysis, and bootstrap validation for assessing robustness. The module also offers group comparison and clustering capabilities, allowing researchers to compare networks across groups or cluster participants based on transition patterns. JTNA is designed for researchers and analysts who need sophisticated network analysis without writing code.

الوصف

JTNA يوفّر واجهة سهلة الاستخدام داخل برنامج jamovi لبناء وتحليل شبكات الانتقال من بيانات تسلسلية بصيغة طويلة. يدعم أنواعاً متعددة من النماذج—النسبية، التردد، التوافر المشترك، والنموذج الانتباهي—مع خيارات قابلية التعديل للمعايير والعتبات. تشمل الميزات المتقدمة حسابات المركزية، وزن الحافة، اكتشاف المجتمعات، تحليل الكليكات، والتحقق بالبوتستراب لتقييم الثبات. كما يتيح الموديول مقارنة الشبكات بين مجموعات مختلفة أو تجميع المشاركين بناءً على أنماط الانتقال. يهدف JTNA إلى الباحثين والمحللين الذين يحتاجون إلى تحليل شبكي متقدم دون الحاجة للبرمجة.

Novelty

7/10

Tags

transition-network-analysis sequential-data behavioral-pattern-analysis network-visualization centrality-metrics community-detection bootstrap-validation group-comparison

Claude Models

claude-opus-4.5 claude-opus-4.6 claude-sonnet-4.6

Quality Score

F
39.0/100
Structure
27
Code Quality
25
Documentation
37
Testing
0
Practices
78
Security
100
Dependencies
50

Strengths

  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 1 files with critical complexity need refactoring
  • 2765 duplicate lines detected \u2014 consider DRY refactoring
  • 6 'god files' with >500 LOC need decomposition

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

7.6h
Tech Debt (B)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (13)
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)
Unknown
License
70.2%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

r
57.6%
yaml
41.2%
markdown
1.1%

Frameworks

None detected

Concepts (2)

Source-of-truth: Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Open data scored by Repobility · https://repobility.com
auto_descriptionProject Description![License: MIT](https://opensource.org/licenses/MIT) ![Version: 1.6.1]() ![Jamovi](https://www.jamovi.org/)80%
auto_categoryData/MLdata-ml70%

Quality Timeline

1 quality score recorded.

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