Will Landau on Using {targets} to Manage Reproducible Analysis Pipelines in R

Will Landau gives a walkthrough of {targets}, a reproducible analysis pipeline tool that he created. About Will Landau: Will Landau is a statistician and software developer currently working with Eli Lilly and Company. Will specializes in Bayesian methods, high-performance computing, and reproducible workflows. He is the creator of the {targets} R package, a pipeline tool for reproducible computation in statistics and data science. The package became part of ROpenSci in early 2021. Important resources mentioned ◾ Get started with the {targets} R package in four minutes: https://github.com/wlandau/targets-four-minutes ◾ Learn more about Will by visiting his website (https://wlandau.github.io/) and connect with him on LinkedIn (https://www.linkedin.com/in/wlandau) and X (@wmlandau). Subscribe to our newsletter: https://rfortherestofus.com/newsletter Chapters 0:00 Intro 3:44 Will’s introduction to R and the development of infrastructure and workflow tools 6:53 Where did the idea for the {targets} package originate from? 12:16 {targets} as a kind of formalization of processes that are informally put together 17:19 {targets} demo 37:19 How complex does a project need to be to benefit from using {targets}? 42:14 Efficiency gains of using {targets} 43:45 Future prospects for {targets} 44:57 Outro #pipeline #make #rstats #reproducibility #targets