Alistair Bailey

Patterns for Bayesian inference in R using brms, including multilevel models, DAG validation, and marginal effects. Use when performing Bayesian analysis.

R object-oriented programming guide for S7, S3, S4, and vctrs. Use when designing R classes or choosing an OOP system.

R package development guide covering dependencies, API design, testing, and documentation. Use when developing R packages.

R performance best practices including profiling, benchmarking, vctrs, and optimization strategies. Use when optimizing R code.

R style guide covering naming conventions, spacing, layout, and function design best practices. Use when writing R code.

rlang metaprogramming patterns for data-masking, injection operators, and dynamic dots. Use when writing functions that use tidy evaluation.

Test-driven development workflow for R using testthat. Use when writing new features, fixing bugs, or refactoring code. Enforces test-first development with 80%+ coverage.

Modern tidyverse patterns for R including pipes, joins, grouping, purrr, and stringr. Use when writing tidyverse R code.