prepkit: Robust preprocessing for Digital Health

Full Documentation & Tutorials: https://gonrui.github.io/prepkit/

"When Z-Score fails, use M-Score."

prepkit is a comprehensive R package designed for the prepkitocessing of longitudinal behavioral data, with a specific focus on gerontology, digital health, and sensor analytics.

Its flagship feature is the M-Score (Mode-Range Normalization), a novel algorithm designed to detect anomalies in data characterized by "habitual plateaus" (e.g., daily step counts, heart rate), where traditional methods like Z-Score or Min-Max scaling often fail due to skewed distributions and high-frequency routine noise.