r2py

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1. python-rpart python-rpart Public

   An AI-assisted, phase-by-phase conversion of R's rpart (CART decision trees) to a standalone Python package, r2py_rpart, reusing rpart's original C source via a fake R-API header layer and cffi, wi…

   Python

2. python-KernSmooth python-KernSmooth Public

   An AI-assisted port of R's KernSmooth package to Python, with the full dependency-analysis, conversion, and validation pipeline used to produce it — compiles the original Fortran routines via f2py …

   Python

3. r2py_kernsmooth r2py_kernsmooth Public

   Python port of R's KernSmooth: binned kernel density estimation, local polynomial regression, and plug-in bandwidth selection, wrapping the original Fortran routines via f2py.

   Python

4. r2py_rpart r2py_rpart Public

   Python port of R's rpart: recursive partitioning and regression trees, with a compiled C core (via cffi) and R-parity Python functions for fitting, pruning, predicting, and plotting trees. Supports…

   Python