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A curated list of awesome R packages, frameworks and software.
A curated list of awesome network analysis resources.
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
Utilities for Scoring and Assessing Predictions
As part of an EU-US Transatlantic Open Data Partnership, the eu.us.opendata R library was developed to provide access to comparable datasets from the EU and the US. This version is in alpha. Feedba…
An in-development R package and a Bayesian hierarchical model jointly fitting multiple "local" wastewater data streams and "global" case count data to produce nowcasts and forecasts of both observa…
Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
Libra, a forecasting benchmark, automatically evaluates and ranks forecasting methods based on their performance in a diverse set of evaluation scenarios. The benchmark comprises four different use…
LambertW R package: Lambert W x F distributions and Gaussianization for skewed & heavy-tailed data
Machine Learning with uncertainty quantification and interpretability