healthyR.ts
The Time Series Modeling Companion to healthyR
To view the full wiki, click here: Full healthyR.ts Wiki
healthyR.ts is a comprehensive R package designed specifically for
time series analysis and forecasting of hospital administrative and
clinical data. Built on the powerful
tidymodels ecosystem, it provides a
consistent, user-friendly framework that simplifies complex time series
workflows.
Why healthyR.ts?
Hospital data analysis often requires handling time series for metrics like: - Average Length of Stay (ALOS) - Readmission rates - Patient volumes and admissions - Bed occupancy rates - Clinical outcomes over time
healthyR.ts takes the guesswork out of time series analysis by
providing:
✅ Automated Workflows - One-function solutions for complete
modeling pipelines
✅ Visual Analytics - Rich plotting functions for data exploration
✅ Data Generators - Simulate realistic time series for testing and
validation
✅ Statistical Tools - Comprehensive suite of time series
statistics
✅ Clustering - Feature-based time series clustering capabilities
✅ Forecasting - 15 automated model workflows (ARIMA, Prophet,
XGBoost, and more)