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usethis
and devtools
, documenting code with roxygen2
, testing with testthat
, sharing packages using Git and GitHub, and an introduction to advanced steps like continuous integration, R Universe deployment, and website creation with pkgdown
.
September 29, 2025
Do you have R code you want to share? You can transform your R code into a shareable tool by developing it into an R package. This course bridges the gap between writing isolated R functions and creating documented packages that can be easily distributed, and is designed for those who might be curious about R package development but haven’t had the time or guidance to get started.
You’ll learn the essential tools of the trade: usethis
and devtools
for package structure, roxygen2
for documentation, testthat
for testing, and Git/GitHub for sharing your work.
Whether you’re looking to organise your personal code collection or contribute to the broader R ecosystem, this course provides the foundation you need.
Prerequisites:
Learning Outcomes: By the end of this course, you will be able to:
usethis
and devtools
.roxygen2
.testthat
to verify package functionality.pkgdown
.Nicholas Tierney
Dr. Nicholas (Nick) Tierney is a Research Software Engineer, and freelance consultant with a PhD in Statistics who specialises in data analytics, R package development, and teaching. He wrote his first R package in 2015, neato, after being inspired by Dr. Hilary Parker’s blog post "writing an R package from scratch".
His academic work has produced several widely-used packages (see his github). During his research fellowship at Monash University with Professor Dianne Cook, he developed tools for exploratory data analysis including visdat, naniar, and brolgar . He then went on to work with Professor Nick Golding at The Kids Research Institute Australia, working as a research software engineer to translate research methods into R packages. Specifically, conmat a tool used in pandemic modelling, and he maintained Nick Golding’s greta R package for statistical modelling using Google’s tensorflow.
Beyond coding, Nick actively writes about R related projects at his blog, "credibly curious". When not coding, Nick enjoys outdoor adventures and hiked the entire Pacific Crest Trail in 2023, documenting his journey at njt.micro.blog.