Should you use this package for performing LiNGAM for longitudinal data, we kindly request you to cite the following paper: K. Kadowaki, S. Shimizu, and T. Washio.
The development is kindly supported by my employer Variomedia AG, structlog ’s Tidelift subscribers, and all my amazing GitHub Sponsors. The logs-loving beaver logo has been contributed by Lynn Root.
Getting Help Please report any bugs on the issue tracker. For discussion and questions, please use the general FUSE mailing list. A searchable mailing list archive is kindly provided by Gmane. Contributing The Python-LLFUSE source code is available on GitHub.
This project is released under the AGPLv3. OKFN and the original authors kindly provided the permission to use a subpart of their project (ie the bibtex parser) under LGPLv3. Many thanks to them! The parser evolved to a new core based on pyparsing. Since 2022, after a long stale period, this library has a new maintainer (@MiWeiss). v2 Announcement
The development is kindly supported by my employer Variomedia AG, service-identity 's Tidelift subscribers, and all my amazing GitHub Sponsors. service-identity for Enterprise