stan-dev/bayesplot
Apr 2025 – Apr 2025
1 Month active
Languages Used
R
Technical Skills
Bayesian AnalysisData VisualizationDocumentationPackage DevelopmentPackage developmentR Package Development
Teemu Säilynoja
PROFILE
Teemu Säilynoja
Teemu Sailynoja enhanced the stan-dev/bayesplot repository by developing new visualization features and addressing data integrity issues in R. He implemented the ppc_loo_pit_ecdf() function, adding flexible plotting options, confidence intervals, and comprehensive documentation, while ensuring compatibility with ggplot2. To improve the accuracy of bar plots, he resolved a bug in ppc_bars_data() by using tidyr::complete() to fill missing data combinations with zero, ensuring all data levels were represented. Teemu aligned the API across related plotting functions, updated release notes, and refactored code for maintainability, demonstrating depth in Bayesian analysis, statistical modeling, and R package development.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
1
Lines of code
1,084
Activity Months1
Your Network
8 people
Work History
April 2025
7 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for stan-dev/bayesplot: Delivered strategic plotting improvements and fixed data-plot integrity issues to enhance visualization fidelity and API consistency. Implemented ppc_loo_pit_ecdf() with plotting options, confidence intervals, tests, documentation, and ensured ggplot2 compatibility. Resolved a critical bug in ppc_bars_data() by filling missing combinations with zero via tidyr::complete(), so bar plots accurately reflect all data levels. Performed API alignment across pit_ecdf variants and updated release notes with COVID-? (note: ignore) and docs. Forward-looking refactors and news entry were included to improve maintainability and user trust.
7 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for stan-dev/bayesplot: Delivered strategic plotting improvements and fixed data-plot integrity issues to enhance visualization fidelity and API consistency. Implemented ppc_loo_pit_ecdf() with plotting options, confidence intervals, tests, documentation, and ensured ggplot2 compatibility. Resolved a critical bug in ppc_bars_data() by filling missing combinations with zero via tidyr::complete(), so bar plots accurately reflect all data levels. Performed API alignment across pit_ecdf variants and updated release notes with COVID-? (note: ignore) and docs. Forward-looking refactors and news entry were included to improve maintainability and user trust.
April 2025
Activity
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Quality Metrics
Correctness97.2%
Maintainability100.0%
Architecture94.2%
Performance91.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
R
Technical Skills
Bayesian AnalysisData VisualizationDocumentationPackage DevelopmentPackage developmentR Package DevelopmentR ProgrammingR programmingStatistical ModelingTestingggplot2
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