PSIAIMS/CAMIS
Dec 2024 – Mar 2026
15 Months active
Languages Used
CSVRJSONMarkdownQuartoYAMLPythonSAS
Technical Skills
Data ManagementDependency managementR package managementDependency ManagementPackage ManagementR Package Management
statasarus
PROFILE
Statasarus
Christina Fillmore developed and maintained the PSIAIMS/CAMIS analytics platform over 15 months, delivering 23 features and resolving key bugs to enhance reproducibility, data integrity, and statistical reporting. She implemented robust environment and dependency management using R and renv, modernized workflows for clinical trial design, and improved cross-language consistency between R and SAS. Christina expanded statistical capabilities with new analysis tools, parallelized computations for efficiency, and strengthened documentation for onboarding and user guidance. Her work demonstrated depth in data management, statistical modeling, and DevOps, resulting in a maintainable, reliable platform that supports complex analytics and reproducible research workflows.
Overall Statistics
Feature vs Bugs
79%Features
Repository Contributions
75Total
Bugs
6
Commits
75
Features
23
Lines of code
44,477
Activity Months15
Your Network
33 peopleWork History
March 2026
2 Commits
Mar 1, 2026March 2026 monthly summary for PSIAIMS/CAMIS focused on strengthening documentation quality for statistical methods. Completed corrections and clarifications for GLMM, Binomial Test examples, and the methods table. This work improves user guidance, reduces potential misinterpretation, and supports faster onboarding and usage for CAMIS users.
2 Commits
Mar 1, 2026March 2026 monthly summary for PSIAIMS/CAMIS focused on strengthening documentation quality for statistical methods. Completed corrections and clarifications for GLMM, Binomial Test examples, and the methods table. This work improves user guidance, reduces potential misinterpretation, and supports faster onboarding and usage for CAMIS users.
March 2026
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 — PSIAIMS/CAMIS: Stabilized CI workflow and ensured deterministic dependencies across environments. Implemented system libraries in GitHub Actions to improve build and test reliability, and refreshed the dependency lock file to lock versions across environments. These changes reduce flakiness, improve reproducibility, and accelerate feedback for code changes.
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 — PSIAIMS/CAMIS: Stabilized CI workflow and ensured deterministic dependencies across environments. Implemented system libraries in GitHub Actions to improve build and test reliability, and refreshed the dependency lock file to lock versions across environments. These changes reduce flakiness, improve reproducibility, and accelerate feedback for code changes.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary focusing on key accomplishments, features delivered, and impact for PSIAIMS/CAMIS.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary focusing on key accomplishments, features delivered, and impact for PSIAIMS/CAMIS.
January 2026
November 2025
4 Commits • 1 Features
Nov 1, 2025PSIAIMS/CAMIS – 2025-11 Monthly Summary: Focused on stability, clarity, and cross-environment readiness to reduce deployment risk and improve data reporting. Delivered key changes with measurable business value and clear technical benefits.
November 2025
4 Commits • 1 Features
Nov 1, 2025PSIAIMS/CAMIS – 2025-11 Monthly Summary: Focused on stability, clarity, and cross-environment readiness to reduce deployment risk and improve data reporting. Delivered key changes with measurable business value and clear technical benefits.
October 2025
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10. Highlights: Delivered Tipping Point Analysis Parallelization for CAMIS (PSIAIMS) enabling faster, multi-core tipping point computations. Implemented with furrr and future_pmap under a consistent parallelization framework. Commit f7202494226b9b70709b942dcf7b3b8947ee8a8c.
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10. Highlights: Delivered Tipping Point Analysis Parallelization for CAMIS (PSIAIMS) enabling faster, multi-core tipping point computations. Implemented with furrr and future_pmap under a consistent parallelization framework. Commit f7202494226b9b70709b942dcf7b3b8947ee8a8c.
October 2025
September 2025
5 Commits • 3 Features
Sep 1, 2025September 2025 CAMIS monthly summary: Key feature deliverables focused on analysis workflows, reproducibility, and environment stability. No major bugs fixed this month; the work emphasizes business value by improving methodological demonstrations, reproducible reporting, and dependency stability, setting a strong foundation for maintainable analyses.
September 2025
5 Commits • 3 Features
Sep 1, 2025September 2025 CAMIS monthly summary: Key feature deliverables focused on analysis workflows, reproducibility, and environment stability. No major bugs fixed this month; the work emphasizes business value by improving methodological demonstrations, reproducible reporting, and dependency stability, setting a strong foundation for maintainable analyses.
August 2025
15 Commits • 4 Features
Aug 1, 2025Monthly work summary for CAMIS (PSIAIMS) - August 2025. Focused on delivering robust, reproducible analytics capabilities, aligning cross-platform methodologies, and strengthening the build/rendering pipeline for reliable business-facing outputs.
15 Commits • 4 Features
Aug 1, 2025Monthly work summary for CAMIS (PSIAIMS) - August 2025. Focused on delivering robust, reproducible analytics capabilities, aligning cross-platform methodologies, and strengthening the build/rendering pipeline for reliable business-facing outputs.
August 2025
July 2025
10 Commits • 2 Features
Jul 1, 2025Concise monthly summary for 2025-07 focused on delivering business value through improved documentation, enhanced guidance for R package selection, and a cleanup of outdated content in the PSIAIMS/CAMIS repository.
July 2025
10 Commits • 2 Features
Jul 1, 2025Concise monthly summary for 2025-07 focused on delivering business value through improved documentation, enhanced guidance for R package selection, and a cleanup of outdated content in the PSIAIMS/CAMIS repository.
June 2025
4 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for PSIAIMS/CAMIS focusing on delivering cross-language consistency for Wilcoxon Rank-Sum and Hodges-Lehmann comparisons between R and SAS, with documentation, examples, and table updates across packages. This work enhances comparability, reduces interpretation risk, and improves maintainability of statistical comparisons in CAMIS.
4 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for PSIAIMS/CAMIS focusing on delivering cross-language consistency for Wilcoxon Rank-Sum and Hodges-Lehmann comparisons between R and SAS, with documentation, examples, and table updates across packages. This work enhances comparability, reduces interpretation risk, and improves maintainability of statistical comparisons in CAMIS.
June 2025
May 2025
4 Commits • 2 Features
May 1, 2025May 2025 monthly summary for PSIAIMS/CAMIS: Focused on expanding analytical capabilities, strengthening data integrity, and improving documentation. The month delivered tangible business value through new statistical tooling, corrected data for reliable reporting, and clearer guidance for key statistical methods.
May 2025
4 Commits • 2 Features
May 1, 2025May 2025 monthly summary for PSIAIMS/CAMIS: Focused on expanding analytical capabilities, strengthening data integrity, and improving documentation. The month delivered tangible business value through new statistical tooling, corrected data for reliable reporting, and clearer guidance for key statistical methods.
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for PSIAIMS/CAMIS focused on delivering a more reproducible, maintainable, and data-driven platform. Key improvements span environment modernization, dependency hygiene, and advanced statistical capabilities with clear business value for analytics workflows and onboarding.
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for PSIAIMS/CAMIS focused on delivering a more reproducible, maintainable, and data-driven platform. Key improvements span environment modernization, dependency hygiene, and advanced statistical capabilities with clear business value for analytics workflows and onboarding.
April 2025
March 2025
15 Commits • 2 Features
Mar 1, 2025March 2025 summary for PSIAIMS/CAMIS: Delivered documentation enhancements for Marginal Homogeneity and McNemar's test with coin integration, updated references, usage guidance, and refreshed method tables; completed maintenance and environment/config updates to improve reproducibility and performance of docs (Quarto/RMarkdown); consolidated test guidance and CI corrections to ensure accurate and reliable documentation. The work improves user guidance, reduces build flakiness, and supports faster onboarding and decision-making.
March 2025
15 Commits • 2 Features
Mar 1, 2025March 2025 summary for PSIAIMS/CAMIS: Delivered documentation enhancements for Marginal Homogeneity and McNemar's test with coin integration, updated references, usage guidance, and refreshed method tables; completed maintenance and environment/config updates to improve reproducibility and performance of docs (Quarto/RMarkdown); consolidated test guidance and CI corrections to ensure accurate and reliable documentation. The work improves user guidance, reduces build flakiness, and supports faster onboarding and decision-making.
February 2025
1 Commits
Feb 1, 2025February 2025: CAMIS maintained and improved documentation quality for CI statistical methods. No new features shipped this month; major effort focused on documentation accuracy to reduce misinterpretation of CI calculations. A targeted fix corrected typos in r-sas_ci_for_prop.qmd, removed extraneous backticks in code snippets, clarified CI usage in function calls, and improved overall documentation accuracy for CI methods. These changes enhance developer onboarding and reduce support overhead by ensuring CI methods are described correctly.
1 Commits
Feb 1, 2025February 2025: CAMIS maintained and improved documentation quality for CI statistical methods. No new features shipped this month; major effort focused on documentation accuracy to reduce misinterpretation of CI calculations. A targeted fix corrected typos in r-sas_ci_for_prop.qmd, removed extraneous backticks in code snippets, clarified CI usage in function calls, and improved overall documentation accuracy for CI methods. These changes enhance developer onboarding and reduce support overhead by ensuring CI methods are described correctly.
February 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 (PSIAIMS/CAMIS) delivered stability and reproducibility improvements through targeted R renv.lock maintenance for gsDesign and gsDesign2 dependencies. Implemented two commits that align the environment with current dependencies and sources: (1) 2890f97e1a92b3ac4a6e763cb68fcca95598b52c — Update renv.lock (repository URL updates and a rollback to stable package versions) and (2) 3d614ca8a542687ef2772be1dcf1d5eea25d6eec — Update gsdesign and gsdesign2 to latest compatible releases. This work reduces environmental drift, minimizes build failures, and accelerates onboarding and CI feedback. Technologies reinforced: R, renv, dependency management, Git, and repository URL maintenance.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 (PSIAIMS/CAMIS) delivered stability and reproducibility improvements through targeted R renv.lock maintenance for gsDesign and gsDesign2 dependencies. Implemented two commits that align the environment with current dependencies and sources: (1) 2890f97e1a92b3ac4a6e763cb68fcca95598b52c — Update renv.lock (repository URL updates and a rollback to stable package versions) and (2) 3d614ca8a542687ef2772be1dcf1d5eea25d6eec — Update gsdesign and gsdesign2 to latest compatible releases. This work reduces environmental drift, minimizes build failures, and accelerates onboarding and CI feedback. Technologies reinforced: R, renv, dependency management, Git, and repository URL maintenance.
December 2024
5 Commits • 2 Features
Dec 1, 2024December 2024 — PSIAIMS/CAMIS monthly delivery highlights: - Key features delivered: - Environment and dependency management improvements: Upgraded the R environment to 4.4.2 via renv.lock, refreshed core packages, and added new dependencies to support analyses, ensuring reproducible experiments across runs. - Statistical methods table enhancements: Added East grouping for Group Sequential Designs and East vs R comparison to broaden options for sample size and power calculations. - Major bugs fixed: - Fixed data inconsistency in the statistical methods table by correcting the gsd_tte entry spelling. - Overall impact and accomplishments: - Improved reproducibility, reliability, and user flexibility; aligned dependencies with current analyses needs; reduced risk of environment drift. - Technologies/skills demonstrated: - R, renv, environment management, CSV/table data handling, experimental design analytics, and cross-tool design comparisons (East vs R).
5 Commits • 2 Features
Dec 1, 2024December 2024 — PSIAIMS/CAMIS monthly delivery highlights: - Key features delivered: - Environment and dependency management improvements: Upgraded the R environment to 4.4.2 via renv.lock, refreshed core packages, and added new dependencies to support analyses, ensuring reproducible experiments across runs. - Statistical methods table enhancements: Added East grouping for Group Sequential Designs and East vs R comparison to broaden options for sample size and power calculations. - Major bugs fixed: - Fixed data inconsistency in the statistical methods table by correcting the gsd_tte entry spelling. - Overall impact and accomplishments: - Improved reproducibility, reliability, and user flexibility; aligned dependencies with current analyses needs; reduced risk of environment drift. - Technologies/skills demonstrated: - R, renv, environment management, CSV/table data handling, experimental design analytics, and cross-tool design comparisons (East vs R).
December 2024
Activity
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Quality Metrics
Correctness91.4%
Maintainability91.6%
Architecture87.4%
Performance86.6%
AI Usage21.4%
Skills & Technologies
Programming Languages
CSSCSVJSONJavaScriptMarkdownPythonQuartoRR MarkdownSAS
Technical Skills
ANOVACausal InferenceClinical Trial DesignClustering AlgorithmsCode ConsistencyCode OrganizationConfigurationContrast AnalysisData AnalysisData ComparisonData ManagementData ValidationData VisualizationDependency ManagementDependency management
Repositories Contributed To
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