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Author: MaartenMarsman

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+# Contributors to bgms
+
+We are grateful to everyone who has contributed to the development of
+**bgms**. This document acknowledges all contributions.
+
+## Core Development Team
+
+### Maarten Marsman (Lead Developer & Maintainer)
+
+- Package design and architecture
+- Pseudolikelihood inference framework
+- Core MCMC sampling methods
+- Model implementation and extensive testing
+- Primary contact: <[email protected]>
+
+### Don van den Bergh (Author)
+
+- **Code Infrastructure & Refactoring**: Project-wide code refactoring
+  including C++ best practices, namespace management, and architecture
+  improvements for maintainability and reliability
+- **Cross-Platform Build System**: Windows compilation debugging and
+  fixes, resolving platform-specific issues with include ordering, type
+  handling, and compiler toolchain integration; R CMD CHECK compliance
+  and Makevars configuration
+- **Numerical Stability & Performance**: Custom exp/log implementations
+  for numerical robustness, memory efficiency optimizations, and
+  algorithm-level performance improvements
+- **Parallel Computing Infrastructure**: Design and implementation of
+  parallel RNG infrastructure, progress bar mechanisms, and user
+  interrupt handling for multi-chain sampling
+- **Package Infrastructure & Testing**: Setup of pkgdown documentation
+  pipeline, testing framework infrastructure, GitHub Actions workflows
+  for automated testing and documentation, and code styling integration
+
+## Contributors
+
+### Nikola Sekulovski
+
+- Refinements and improvements to the stochastic block model (SBM) edge
+  prior
+- SBM output functions and extraction methods
+- SBM-related bug fixes and enhancements
+
+### Giuseppe Arena
+
+- Stochastic block model (SBM) prior code optimization and refactoring
+- Bug fixes in SBM implementation
+- Corrections to SBM output functions
+
+### Laura Groot
+
+- Preparation and curation of ADHD and Boredom datasets
+- Dataset documentation and Roxygen help files
+- Bibliography and citation management for datasets
+
+### Gali Geller
+
+- Robustness and tolerance testing for bgms and bgmCompare outputs
+- Test infrastructure for range validation and symmetry checks
+
+## Acknowledgments
+
+We acknowledge Karoline Huth for contributions to the early development
+of the bgms package.
+
+## Citation
+
+If you use **bgms** in your research, please cite:
+
+Marsman, M., & van den Bergh, D. (2025). bgms: Bayesian analysis of
+networks of binary and/or ordinal variables.
+<https://CRAN.R-project.org/package=bgms>
+
+## Attribution Standards
+
+This package follows R community standards for author attribution using
+the `Authors@R` field and role codes in the DESCRIPTION file:
+
+- **`"aut"` (Author):** Substantial contributions; appears in package
+  citation
+- **`"cre"` (Creator/Maintainer):** Package maintainer
+- **`"ctb"` (Contributor):** Smaller contributions (patches, bug fixes);
+  does not appear in package citation
+
+See the
+[DESCRIPTION](https://bayesian-graphical-modelling-lab.github.io/bgms/DESCRIPTION)
+file for complete role assignments. Standards follow: - Hornik, K.,
+Murdoch, D., & Zeileis, A. (2012). Who Did What? The Roles of R Package
+Authors and How to Refer to Them. *The R Journal*, 4(1), 64-69.
+<https://doi.org/10.32614/RJ-2012-009> - R Core Team. *Writing R
+Extensions*.
+<https://cran.r-project.org/doc/manuals/r-release/R-exts.html>