Software & R Packages

Web-Based Tools

• Proximity Catch Digraphs (PCDs) Demo – Interactive visualization and illustration of PCDs.

R Packages (on CRAN or GitHub)

• pcds: Implements construction and analysis of proximity catch digraphs for spatial data analysis and classification.
  CRAN GitHub
• pcds.ugraph: Computes underlying and reflexivity graphs of PCDs.
  CRAN GitHub
• nnspat: Tools for spatial point pattern analysis using nearest neighbor methods.
  CRAN GitHub
• PCDSL: Implements statistical learning methods based on proximity catch digraphs.
  GitHub

Programming & Statistical Computing Experience

• R and RStudio: Extensive use for statistical computing, visualization, and package development.
• SAS: Experience in large-scale statistical analyses and simulations.
• Python (NumPy, Pandas, NetworkX, Matplotlib): For data analysis, graph algorithms, and visualization.
• LaTeX (including TikZ): Professional typesetting of technical and mathematical content.
• Mathematica & Maple: Symbolic and numerical computations.
• SPARK-R: Integration of R into Spark environments for distributed computing.

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