The Reich Lab at UMass-Amherst (reichlab)

The Reich Lab at UMass-Amherst

reichlab

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Location:Amherst, MA

Home Page:http://reichlab.io

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The Reich Lab at UMass-Amherst's repositories

adaptively-weighted-ensemble

Code and manuscript for adaptively weighted ensembles via stacking

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dengue-thailand-2014-forecasts

Code and public data for "Challenges in real-time prediction of infectious disease: a case study of dengue in Thailand"

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kcde

Kernel conditional density estimation with flexible kernel specifications.

article-disease-pred-with-kcde

Article: Infectious Disease Prediction with Kernel Conditional Density Estimation.

densitystackr

R package implement model stacking for models that output predictive distributions.

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flusight-csv-tools

Node toolkit for CDC FluSight format CSVs

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online-lag-ensemble

Lag aware online ensembling

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xgbstack

R package using gradient boosting to implement model stacking for models that output predictive distributions.

dengue-data-stub

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.

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diffport

Database summary diff reporting tool

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FluSight-package

An R package containing functions used in the CDC Flu Forecasting competition

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flusight-test

Repository for testing prediction models with flusight

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forecastTools

An R package with tools for managing, evaluating forecasts of time-series

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mvtnorm-mod-kcde

A version of R's mvtnorm package with minor modifications yielding approximately 30% speedups in KCDE estimation with pdtmvn-based kernel functions and discrete variables.

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pdtmvn

R package implementing partially discretized truncated multivariate normal distributions

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reviewMID

Review of model formulations and estimation strategies for infectious disease models

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shiny-predictions

A Shiny app for visualizing predictions.

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style

Reich Lab style guide for coding in R

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tracking-ensemble

Dynamic weight ensembles

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TSIRsim

R package for simulating TSIR models.

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xgboost-mod

The xgboost package for gradient boosting, modified to allow inference with non-convex loss functions.

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xpull

Scripts for working with travis across github repos

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