

January 2026 monthly summary focusing on key accomplishments, features delivered, and impact for PSIAIMS/CAMIS.
January 2026 monthly summary focusing on key accomplishments, features delivered, and impact for PSIAIMS/CAMIS.
PSIAIMS/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.
PSIAIMS/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.
Month: 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.
Month: 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.
September 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 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.
Monthly 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.
Monthly 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.
Concise 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.
Concise 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 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 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.
May 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 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 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 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.
March 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 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: 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: 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.
January 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 (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 — 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 — 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).
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