Software & R Packages

Software

Proximity Catch Digraphs (PCDs) Demo

R Package: pcds - PCDs and Their Applications, author and maintainer, available on CRAN and GitHub
R Package: pcds.ugraph - PCDs and Their Applications, author and maintainer, available on CRAN and GitHub
R Package: nnspat - Nearest Neighbor Methods for Spatial Data Analysis, author and maintainer, available on CRAN and GitHub
R Package: PCDSL - Statistical Learning with PCDs, author and contributor, available on GitHub

Software Experience

Software: I have considerable experience in the below statistical and mathematical software.

Statistical Software: R and SAS
R is a free and open-source (i.e., users can contribute add-on packages) software environment for statistical computing and graphics. You can download it thru CRAN.

SAS is a commercial software environment with many branches, and mostly known for statistical analysis.

R Programming in SPARK environment

Symbolic Math Software: Maple and Mathematica
Maple is a symbolic math software that is also powerful in numerical methods, and user-friendly for programmers.

Mathematica is also a symbolic math software that is also powerful in numerical methods.

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