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
Worked on the stan-dev/bayesplot repository to deliver cohesive plotting enhancements focused on improving compatibility with ggplot2 and streamlining the user experience for MCMC visualization. Addressed deprecated plotting arguments by updating from size to linewidth, resolving warnings and aligning with ggplot2 3.4.0 standards. Enhanced interpretability of mcmc_nuts_treedepth plots by filtering out infrequent treedepth values and clarified documentation for chain plotting behavior in mcmc_nuts_stepsize, making per-chain visualization more transparent. Leveraged R programming, data visualization, and statistical modeling skills to reduce maintenance burden and ensure more reliable, user-friendly plotting functions without introducing new bugs during the development period.
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
10
Behram UlukırMember
Michael ChiricoMember
ishaan-arora-1Member
jgabryMember
Tristan MahrMember
VisruthSKMember
SakuskiMember
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
Activity
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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
Repositories Contributed To
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