Code for "Multivariable Prediction of Postural Sway: Development and Internal Validation of Mixed-Effects Models for COP Velocity and Sway Area"

The computational methodology used in the present work employed a fully automated predictive-modeling pipeline implemented in R (version 4.5.1). The workflow followed a split-sample strategy for model development and external validation. A primary execution script orchestrates all steps—from CoP data preprocessing to feature extraction, model training, evaluation, and statistical reporting—ensuring complete reproducibility of the analysis.

本研究采用的计算方法基于R语言（版本4.5.1）搭建了一套全自动化的预测建模流水线。该工作流采用样本拆分策略开展模型开发与外部验证。核心执行脚本统筹全流程环节：从CoP数据预处理、特征提取、模型训练、评估直至统计报告生成，确保分析过程具备完全可复现性。