R Package
R packages are collections of functions and data designed to extend the capabilities of the R statistical computing environment, facilitating diverse research and applications. Current research emphasizes developing packages for advanced statistical modeling (e.g., Bayesian networks, Gaussian processes, survival analysis, causal inference), machine learning (including interpretability and fairness), and the analysis of specialized data types (e.g., time series, images, and network data). These tools enhance reproducibility, streamline analyses, and improve the accessibility of sophisticated methods across various scientific disciplines and practical domains.
Papers
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