PSIAIMS/CAMIS
Feb 2026 – Mar 2026
2 Months active
Languages Used
MarkdownRSASBibTeXHTMLJSONJavaScriptNone
Technical Skills
Bayesian methodsR programmingSASSAS programmingdata analysisdata interpretation
Pete Laud
PROFILE
Pete Laud
Paul Laud contributed to the PSIAIMS/CAMIS repository by overhauling documentation and enhancing analytical workflows for statistical method comparison. He restructured technical content, clarified methodology, and integrated new sections to improve user onboarding and reproducibility. Using R, SAS, and Python, Paul expanded citation management, updated bibliography assets, and refined code samples to ensure accurate rendering and cross-tool compatibility. His work included dependency management for R packages like PropCIs and Ratesci, as well as improvements to data visualization and statistical reporting. These changes reduced support friction, enabled clearer guidance for researchers, and strengthened the reliability and technical depth of CAMIS outputs.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
110Total
Bugs
12
Commits
110
Features
42
Lines of code
4,567
Activity Months2
Your Network
33 peopleShared Repositories
33
Work History
March 2026
85 Commits • 30 Features
Mar 1, 2026March 2026 (2026-03) — PSIAIMS/CAMIS delivered a documentation- and quality-assurance sprint that improves user onboarding, reproducibility, and cross-tool analytics. Key features delivered include comprehensive bibliography and citation updates (added Cai reference and .csl asset) and extensive language cleanups; expanded introduction and navigation with a direct link to the method summary page and relocated example code for clarity; enriched PROC FREQ coverage with updated method descriptions and examples and tightened references; SAS code blocks cleanup (removing eval: false, deleting spurious chunks, and standardizing headers) to ensure accurate code rendering; and integration work for PropCIs and Ratesci with lockfile/dependency updates to enable broader analysis pipelines. Together, these changes improve reliability, reduce support time, and enable researchers to mix and match methods across R/SAS analyses with clearer guidance. Technologies demonstrated include SAS/R documentation, citation tooling (.csl), render-based asset management, and dependency management for Ratesci/PropCIs.
85 Commits • 30 Features
Mar 1, 2026March 2026 (2026-03) — PSIAIMS/CAMIS delivered a documentation- and quality-assurance sprint that improves user onboarding, reproducibility, and cross-tool analytics. Key features delivered include comprehensive bibliography and citation updates (added Cai reference and .csl asset) and extensive language cleanups; expanded introduction and navigation with a direct link to the method summary page and relocated example code for clarity; enriched PROC FREQ coverage with updated method descriptions and examples and tightened references; SAS code blocks cleanup (removing eval: false, deleting spurious chunks, and standardizing headers) to ensure accurate code rendering; and integration work for PropCIs and Ratesci with lockfile/dependency updates to enable broader analysis pipelines. Together, these changes improve reliability, reduce support time, and enable researchers to mix and match methods across R/SAS analyses with clearer guidance. Technologies demonstrated include SAS/R documentation, citation tooling (.csl), render-based asset management, and dependency management for Ratesci/PropCIs.
March 2026
February 2026
25 Commits • 12 Features
Feb 1, 2026February 2026 (PSIAIMS/CAMIS) - Delivered extensive documentation enhancements and critical fixes that improve clarity, accuracy, and user trust, supporting better decision-making and faster onboarding. Key work included a structural overhaul of CAMIS documentation, introduction of two fundamental approaches, discussion of asymmetric coverage, alignment of standard methods terminology, demonstration of hypothesis test options, and a zero-responder warning. Fixed critical issues include typos and a PROC import error. Overall, the work enhances reliability of documentation, reduces support friction, and strengthens the technical credibility of CAMIS outputs.
February 2026
25 Commits • 12 Features
Feb 1, 2026February 2026 (PSIAIMS/CAMIS) - Delivered extensive documentation enhancements and critical fixes that improve clarity, accuracy, and user trust, supporting better decision-making and faster onboarding. Key work included a structural overhaul of CAMIS documentation, introduction of two fundamental approaches, discussion of asymmetric coverage, alignment of standard methods terminology, demonstration of hypothesis test options, and a zero-responder warning. Fixed critical issues include typos and a PROC import error. Overall, the work enhances reliability of documentation, reduces support friction, and strengthens the technical credibility of CAMIS outputs.
Activity
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Quality Metrics
Correctness97.4%
Maintainability96.0%
Architecture96.0%
Performance96.0%
AI Usage20.6%
Skills & Technologies
Programming Languages
BibTeXHTMLJSONJavaScriptMarkdownNonePythonQMDRSAS
Technical Skills
Bayesian methodsJavaScriptPythonPython package managementRR programmingSASSAS programmingSQLXML developmentXML stylingacademic writingbackend developmentbibliography managementcitation formatting
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