🧠 Explore Item Response Theory (IRT) to enhance AI-based adaptive testing with accurate measurements and improved assessment techniques.
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Updated
Mar 24, 2026 - Jupyter Notebook
🧠 Explore Item Response Theory (IRT) to enhance AI-based adaptive testing with accurate measurements and improved assessment techniques.
🛠️ Build resilient tests that adapt to file changes by focusing on code structure, ensuring your testing remains effective through refactoring.
# 🔍 Semantic Article RecommenderThis project offers a simple way to find articles that are similar in meaning. It uses advanced techniques like Hugging Face embeddings and FAISS for efficient searching. 🛠️
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
Repository for the Textbook: "Principles of Psychological Assessment: With Applied Examples in R"
🔍 Explore multi-omics integration with DIABLO, DIVAS, and VAEs, providing clear methods for combining diverse data without implying causation.
factor models for omics data
An R package for Bayesian structural equation modeling using INLA
A comprehensive statistical study and automated modeling pipeline for analyzing factors influencing railway passenger volume using GRA, SVR, and Stepwise Regression.基于灰色关联度与多种回归模型的铁路客运量影响因素统计分析及自动化建模流水线。
an R package for structural equation modeling and more
This R-Package is an extension to the MSFA algorithm by R. De Vito et al. (2019)
A Python package for psychology-oriented EFA, ESEM, and SEM workflows with modular, reproducible, and testable analysis pipelines.
An R package for Bayesian structural equation modeling
AI Readiness Scale (AIRS): Validated 12-item instrument. 7-phase psychometric validation (N=362): EFA→CFA→Invariance→SEM→Mediation→Moderation→Behavioral. Autonomy-centered UTAUT2 extension (R²=.819). Reproducible Jupyter analysis, intervention protocols, practitioner guidelines.
Open-source investment analytics platform bridging academic research and retail finance. Features include portfolio risk decomposition [Fama-French Five Factor Model], retirement sustainability modeling [Block Bootstrap Monte Carlo], max drawdown/CVaR dashboards, and risk-return optimisation [Markowitz, Ledoit-Wolf] via an intuitive user interface.
Transparent and Efficient Financial Analysis
A package for Bayesian meta-analytic SEM
Strategic acquisition analysis for the Premium PC RPG market using Factor Analysis and Predictive Modeling.
A Julia package for estimating static factor models
R package for identify complex structure in factor analysis output
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