Decomposing causality into its synergistic, unique, and redundant components - Nature Communications

nature.com

The methods for detection of cause-effect interactions in complex systems face challenges in the presence of nonlinear dependencies or stochastic interactions. The authors propose a framework for decomposition of causality into redundant, unique, and synergistic contributions, providing a measure of the causality from multiple or hidden system variables.

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November 2025 Top 40 New CRAN Packages – R Works

R Works Joseph Rickert Jan 5, 2026

One hundred eighty-three new packages made it to CRAN in November 2025. Here are my picks organized into sixteen categories: AI, Astronomy, Causal Inference, Data, Ecology, Epidemiology, Genomics, Machine Learning, Marketing, Medical Statistics, Risk Analysis, Shiny, Statistics, Time Series, Utilities, and Visualization.

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