Patterns for Bayesian inference in R using brms, including multilevel models, DAG validation, and marginal effects. Use when performing Bayesian analysis.
EnglishR object-oriented programming guide for S7, S3, S4, and vctrs. Use when designing R classes or choosing an OOP system.
EnglishR performance best practices including profiling, benchmarking, vctrs, and optimization strategies. Use when optimizing R code.
EnglishR style guide covering naming conventions, spacing, layout, and function design best practices. Use when writing R code.
Englishrlang metaprogramming patterns for data-masking, injection operators, and dynamic dots. Use when writing functions that use tidy evaluation.
EnglishModern tidyverse patterns for R including pipes, joins, grouping, purrr, and stringr. Use when writing tidyverse R code.
EnglishIncludes R Performance, R Style Guide, Rlang Patterns, and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
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What’s included
R Bayes
Patterns for Bayesian inference in R using brms, including multilevel models, DAG validation, and marginal effects. Use when performing Bayesian analysis.
R Oop
R object-oriented programming guide for S7, S3, S4, and vctrs. Use when designing R classes or choosing an OOP system.
R Performance
R performance best practices including profiling, benchmarking, vctrs, and optimization strategies. Use when optimizing R code.
R Style Guide
R style guide covering naming conventions, spacing, layout, and function design best practices. Use when writing R code.
Rlang Patterns
rlang metaprogramming patterns for data-masking, injection operators, and dynamic dots. Use when writing functions that use tidy evaluation.
Tidyverse Patterns
Modern tidyverse patterns for R including pipes, joins, grouping, purrr, and stringr. Use when writing tidyverse R code.
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