Resources mentioned in the Hangout

• {gtsummary} https://www.danieldsjoberg.com/gtsummary/
• ARDS + AI: Building the Future of Clinical Reporting with {gtsummary} and {cards} BBSW 2025 workshop materials https://www.danieldsjoberg.com/BBSW-gtsummary-ARD-2025/
• Analysis Results Datasets Onboarding https://www.danieldsjoberg.com/ARD-onboarding/
• {cards} https://insightsengineering.github.io/cards/
• {cardx} https://pharmaverse.github.io/cardx/latest-tag/

Resources mentioned in the Hangout

• Pointblank: Data Validation and Organization of Metadata for Local and Remote Tables
  • R version: https://rstudio.github.io/pointblank/
  • Python version: https://posit-dev.github.io/pointblank/
• Pointblank examples for CDISC data:
  • Clinical Data Standards: https://posit-dev.github.io/pointblank/user-guide/metadata-import/cdisc-validation.html
  • Submission Conformance: https://posit-dev.github.io/pointblank/user-guide/metadata-import/cdisc-submission-conformance.html
• watcher: Watch the file system for changes https://watcher.r-lib.org/
• GT: Easily Create Presentation-Ready Display Tables https://gt.rstudio.com/
• Great Tables (Python) https://posit-dev.github.io/great-tables/
• Creating Effective Display Tables with the gt Package: https://rich-iannone.github.io/gt-effective-display-tables
• Great Docs: Documentation sites for Python packages https://posit-dev.github.io/great-docs/
• Great Docs Terminal Recordings guide https://posit-dev.github.io/great-docs/user-guide/terminal-recordings.html

Resources mentioned in the Hangout

• Presentation materials: https://github.com/JamesHWade/shinymcp/tree/main/inst/examples/rpharma-hangout
• {shinymcp}: https://jameshwade.github.io/shinymcp
• Background blog post on {shinymcp}: https://jameshwade.com/posts/2026-02-21_shinymcp.html
• {dsprrr}: https://jameshwade.github.io/dsprrr
• GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning https://arxiv.org/abs/2507.19457
• {deputy}: https://jameshwade.github.io/deputy

Resources mentioned in the Hangout

• Session slides https://b-rodrigues.github.io/repro_r_pharma/ and accompanying GitHub repository https://github.com/b-rodrigues/repro_r_pharma/tree/main
• {rix} documentation https://docs.ropensci.org/rix/index.html
• {rixpress} documentation https://b-rodrigues.github.io/rixpress/
• T language https://tstats-project.org/index.html

Additional Examples

Visit the repositories below to see two additional showcases of Nix for reproducible data science:

• rinpharma/demo_rix: Using {rix} to manage R dependencies for Pharmaverse example R scripts.
• rinpharma/demo_t_workflow: Using the T language to run a clinical simulation pipeline originally created with the {targets} package.

Resources mentioned in the Hangout

• Example Shiny application used in this session https://github.com/rinpharma/hangouts/tree/main/shiny-otel
• OpenTelmetry with Shiny article https://shiny.posit.co/r/articles/improve/opentelemetry/
• {otelsdk} vignette on collecting telemetry data https://otelsdk.r-lib.org/reference/collecting.html
• Logfire https://logfire-us.pydantic.dev
• Otel Desktop Viewer https://github.com/CtrlSpice/otel-desktop-viewer

Resources mentioned in the Hangout

• rig: The R installation manager https://github.com/r-lib/rig?tab=readme-ov-file#id-macos-installer
• Practical {renv} (Shannon Pileggi) https://www.youtube.com/watch?v=l01u7Ue9pIQ
• renv: Project environments for R https://rstudio.github.io/renv/index.html
  • FAQ https://rstudio.github.io/renv/articles/faq.html
  • Introduction to {renv} https://rstudio.github.io/renv/articles/renv.html
  • Using {renv} with Docker https://rstudio.github.io/renv/articles/docker.html
• rv: A declarative R package manager https://a2-ai.github.io/rv-docs
• Pharmaverse examples https://pharmaverse.github.io/examples
• The R-Podcast Episode 32: RStudio’s Big Move and Kevin Ushey https://r-podcast.org/032-rsconf2020-part1/