mlsanityData to 7 Oct 2026

Py-Tetrad and RPy-Tetrad: A New Python Interface with R Support for Tetrad Causal Search

arXiv 2308.07346 ↗First posted 13 Aug 2023cs.MS cs.AI cs.PLcited by 8

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Abstract (arXiv)

We give novel Python and R interfaces for the (Java) Tetrad project for causal modeling, search, and estimation. The Tetrad project is a mainstay in the literature, having been under consistent development for over 30 years. Some of its algorithms are now classics, like PC and FCI; others are recent developments. It is increasingly the case, however, that researchers need to access the underlying Java code from Python or R. Existing methods for doing this are inadequate. We provide new, up-to-date methods using the JPype Python-Java interface and the Reticulate Python-R interface, directly solving these issues. With the addition of some simple tools and the provision of working examples for both Python and R, using JPype and Reticulate to interface Python and R with Tetrad is straightforward and intuitive.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 1 of its 22 references that are in the map. First posted on arXiv 13 Aug 2023.

Builds on

1 of 22 references.

References · 1

  1. 2022Greedy Relaxations of the Sparsest Permutation Algorithmcited by 63

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 5; 2026: 2.

8 papers.