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UID:pretalx-wombat-2025-PLVPUV@conf.nectric.com.au
DTSTART;TZID=AEST:20250929T090000
DTEND;TZID=AEST:20250929T123000
DESCRIPTION: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 documen
 ted packages that can be easily distributed\, and is designed for those wh
 o might be curious about R package development but haven't had the time or
  guidance to get started.\n\nYou'll learn the essential tools of the trade
 : `usethis` and `devtools` for package structure\, `roxygen2` for document
 ation\, `testthat` for testing\, and Git/GitHub for sharing your work.\n\n
 Whether you're looking to organise your personal code collection or contri
 bute to the broader R ecosystem\, this course provides the foundation you 
 need.\n\n**Prerequisites**:\n\n- Comfortable with some R fundamentals (dat
 a types\, functions\, reading data).\n- Experience writing basic R scripts
 .\n- No prior experience with package development required.\n\n**Learning 
 Outcomes**: By the end of this course\, you will be able to:  \n \n- Creat
 e the basic structure of an R package.\n- Manage dependencies with `usethi
 s` and `devtools`.\n- Create documentation with `roxygen2`.\n- Write and r
 un unit tests with `testthat` to verify package functionality.\n- Use Git 
 and GitHub to put your R package online.\n- Understand next steps for adva
 nced package development\, including:\n- Automatically run tests with cont
 inuous integration via GitHub Actions.\n- Make your R package easily insta
 llable with the [R Universe](https://r-universe.dev/search).\n- Create pro
 fessional package websites using `pkgdown`.
DTSTAMP:20260824T011828Z
LOCATION:8.44
SUMMARY:Introduction to R packages - Nicholas Tierney
URL:https://conf.nectric.com.au/wombat-2025/talk/PLVPUV/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-wombat-2025-G9CLV3@conf.nectric.com.au
DTSTART;TZID=AEST:20250930T134000
DTEND;TZID=AEST:20250930T143000
DESCRIPTION:Research software engineering\, open source software\, reproduc
 ibility research -- what do these terms really mean\, and what's special a
 bout creating 'statistical software' and R packages? In this conversation 
 with Professor Rob Hyndman\, and Dr. Nick Tierney\, we attempt to demystif
 y and highlight many ways that software design and open source packages ca
 n contribute to the development\, dissemination and accessibility of data-
 driven analysis.
DTSTAMP:20260824T011828Z
LOCATION:8.03
SUMMARY:In conversation: Rob Hyndman & Nick Tierney on Research Software\, 
 hosted by Cynthia Huang - Nicholas Tierney\, Cynthia Huang\, Rob Hyndman
URL:https://conf.nectric.com.au/wombat-2025/talk/G9CLV3/
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