stan-dev/bayesplot
Jan 2026 – Jan 2026
1 Month active
Languages Used
R
Technical Skills
R programmingdata visualizationdocumentationggplot2statistical analysisstatistical modeling
Bjarke Hautop
PROFILE
Bjarke Hautop
Bjarke Hautop enhanced the stan-dev/bayesplot repository by delivering robust plotting improvements focused on compatibility with ggplot2 and clearer MCMC visualization. He updated deprecated plotting arguments, such as replacing size with linewidth, and addressed warnings in mcmc_nuts_treedepth visualizations to ensure smoother user experiences. Using R programming and data visualization skills, Bjarke filtered infrequent treedepth values to improve interpretability and clarified documentation for chain plotting behavior, making it explicit how chains are handled and highlighted. His work reduced maintenance overhead and aligned plotting functions with ggplot2 3.4.0 standards, demonstrating depth in statistical analysis and technical documentation within the R ecosystem.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
157
Activity Months1
Your Network
10 peopleShared Repositories
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VisruthSKMember
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Teun van den BrandMember
Teemu SäilynojaMember
Work History
January 2026
5 Commits • 2 Features
Jan 1, 2026January 2026 (2026-01) delivered cohesive plotting enhancements for stan-dev/bayesplot with strong ggplot2 compatibility, improved user guidance for MCMC visualization, and reduced maintenance burden. Key outcomes include deprecated-argument updates, warning fixes, and clearer documentation for chain plotting behavior, all contributing to more reliable visuals and smoother user experience.
5 Commits • 2 Features
Jan 1, 2026January 2026 (2026-01) delivered cohesive plotting enhancements for stan-dev/bayesplot with strong ggplot2 compatibility, improved user guidance for MCMC visualization, and reduced maintenance burden. Key outcomes include deprecated-argument updates, warning fixes, and clearer documentation for chain plotting behavior, all contributing to more reliable visuals and smoother user experience.
January 2026
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Quality Metrics
Correctness100.0%
Maintainability96.0%
Architecture96.0%
Performance96.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
R
Technical Skills
R programmingdata visualizationdocumentationggplot2statistical analysisstatistical modeling
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