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The Reich Lab at UMass-Amherst's Projects

ncov icon ncov

analyses related to nCoV-2020 outbreak

neural-stack icon neural-stack

Neural network based ensemble of flu prediction models.

pdtmvn icon pdtmvn

R package implementing partially discretized truncated multivariate normal distributions

pkr icon pkr

Command line package/script management for R based on packrat.

pylssm icon pylssm

Linear state space models in Python

rclp icon rclp

Recalibrated linear pool ensembles

reviewmid icon reviewmid

Review of model formulations and estimation strategies for infectious disease models

sarimatd icon sarimatd

sarimaTD R package: SARIMA Models with Transformations and Seasonal Differencing

style icon style

Reich Lab style guide for coding in R

tsirsim icon tsirsim

R package for simulating TSIR models.

xgboost-mod icon xgboost-mod

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

xgbstack icon xgbstack

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

xpull icon xpull

Scripts for working with travis across github repos

zoltpy icon zoltpy

A python module that interfaces with Zoltar https://github.com/reichlab/forecast-repository

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