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The website for the Reich Lab @ UMass-Amherst.
Interactive visualization for time series forecasts
Influenza forecasts visualizer
Hedging algorithms with lag
Command line package/script management for R based on packrat.
MMWR Weeks for JS
MMWR weeks for Python
Code and submissions for 2017-2018 CDC flu prediction contest
Lag aware online ensembling
Dynamic weight ensembles
Neural network based ensemble of flu prediction models.
Node toolkit for CDC FluSight format CSVs
Database summary diff reporting tool
Scripts for working with travis across github repos
The code and data required to make annual predictions for Thailand
Modeling of costs and risks of active monitoring during pandemics.
sarimaTD R package: SARIMA Models with Transformations and Seasonal Differencing
An R package containing functions used in the CDC Flu Forecasting competition
Code and manuscript for adaptively weighted ensembles via stacking
Article: Infectious Disease Prediction with Kernel Conditional Density Estimation.
Repository for testing prediction models with flusight
R package implement model stacking for models that output predictive distributions.
The xgboost package for gradient boosting, modified to allow inference with non-convex loss functions.
R package using gradient boosting to implement model stacking for models that output predictive distributions.
Kernel conditional density estimation with flexible kernel specifications.
R package for simulating TSIR models.
If you clone this project, change to the root directory, and do `remake::make()` it will download time-series for Dengue in Thailand, at the moment a few things are hard-coded still.
A Shiny app for visualizing predictions.