Caution
This project is a work-in-progress. Any outputs may be misleading or even incorrect. Despite this project's early stage, all development is in public as part of the Center for Forecasting and Outbreak Analytics' goals around open development. Questions and suggestions are welcome through GitHub issues or a PR.
This project is an in-development R package for {mgcv}
provides a flexible, fast, and robust interface to fit penalized-spline based models.
However, the substantial research effort into spline-based approaches has not been unified into a shared R package.
This R package aims to become an opinionated re-implementation of the literature methods, with reasonable defaults for real-time epidemic modeling.
Development effort is optimized around real-time use-cases, with potential for right-truncation, noisy reporting, and uncertain data-generating processes.
It is meant to be a simple drop-in tool to be run alongside more computationally intensive implementations like {EpiNow2}
.
- Zachary Susswein (@zsusswein)
- Katelyn Gostic, PhD (@kgostic)
- Sam Abbott, PhD (@seabbs)
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