stan-dev/math
Oct 2025 – Dec 2025
3 Months active
Languages Used
C++
Technical Skills
C++C++ programmingMathematicsNumerical AnalysisOpenCLalgorithm optimization
Franzi2114
PROFILE
Franzi2114
Franziska Henrich enhanced the stan-dev/math library by refactoring and extending its Wiener distribution functionality over three months. She focused on improving numerical stability, readability, and error handling in probabilistic calculations, introducing robust support for both standard and defective Wiener distributions. Her work involved refining cumulative distribution and log-probability computations, strengthening input validation, and ensuring consistent code formatting. Using C++ and leveraging numerical analysis and statistical modeling expertise, Franziska integrated these improvements directly into the library, enabling more reliable and maintainable probabilistic modeling. The depth of her contributions reduced edge-case failures and positioned the codebase for future extensibility and robust analytics.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
3
Lines of code
11,130
Activity Months3
Your Network
16 peopleWork History
December 2025
3 Commits • 1 Features
Dec 1, 2025Month 2025-12: Stan Math library (stan-dev/math) delivered Wiener distribution enhancements with defective distribution support, focusing on improved numerical stability and library integration. The changes enable defective Wiener distributions and ensure consistent usage across the codebase via updated include directives. The work strengthens probabilistic modeling capabilities and positions downstream analytics for more robust risk and uncertainty evaluation.
3 Commits • 1 Features
Dec 1, 2025Month 2025-12: Stan Math library (stan-dev/math) delivered Wiener distribution enhancements with defective distribution support, focusing on improved numerical stability and library integration. The changes enable defective Wiener distributions and ensure consistent usage across the codebase via updated include directives. The work strengthens probabilistic modeling capabilities and positions downstream analytics for more robust risk and uncertainty evaluation.
December 2025
November 2025
4 Commits • 1 Features
Nov 1, 2025Month 2025-11 — Wiener distribution numerical stability and error-handling improvements in stan-dev/math. Delivered refined log probability handling, stronger input validation, and code quality enhancements including a newline at EOF for consistency. Implemented fixes addressing edge-case calculations in Wiener4 LCCDF and ret_t type derivation to improve error paths and robustness. These changes reduce risk of incorrect results in production simulations and improve maintainability.
November 2025
4 Commits • 1 Features
Nov 1, 2025Month 2025-11 — Wiener distribution numerical stability and error-handling improvements in stan-dev/math. Delivered refined log probability handling, stronger input validation, and code quality enhancements including a newline at EOF for consistency. Implemented fixes addressing edge-case calculations in Wiener4 LCCDF and ret_t type derivation to improve error paths and robustness. These changes reduce risk of incorrect results in production simulations and improve maintainability.
October 2025
8 Commits • 1 Features
Oct 1, 2025For 2025-10, delivered a Wiener distribution refactor in stan-dev/math to boost numerical stability, readability, and accuracy. The work included major improvements to CDF, log-CDF, error handling, and constants consistency, plus AD (automatic differentiation) compatibility. The effort comprised eight commits implementing initial changes and subsequent corrections, culminating in wiener4_lcdf updates.
8 Commits • 1 Features
Oct 1, 2025For 2025-10, delivered a Wiener distribution refactor in stan-dev/math to boost numerical stability, readability, and accuracy. The work included major improvements to CDF, log-CDF, error handling, and constants consistency, plus AD (automatic differentiation) compatibility. The effort comprised eight commits implementing initial changes and subsequent corrections, culminating in wiener4_lcdf updates.
October 2025
Activity
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Quality Metrics
Correctness94.8%
Maintainability86.6%
Architecture88.0%
Performance88.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ developmentC++ programmingMathematicsNumerical AnalysisOpenCLalgorithm optimizationcode formattinglibrary developmentmathematicsnumerical methodsprobability theorystatistical modeling
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