Building an R Package with LLMs by Jared P. Lander

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Abstract: Can an LLM build an entire R package? We are going to prompt engineer our way to a working package. We are going to use a series of prompts to first build functions and write the roxygen documentation. After that we'll request it provide the steps for creating the package scafolding such as the DESCRIPTION file and folder structure. Then we will have the LLM write units tests, something that often falls be the wayside. We'll see how quickly the LLM can do all this for us as opposed to using the standard package building tools.

Bio: Jared P. Lander is Chief Data Scientist of Lander Analytics, the Organizer of the New York Open Statistical Programming Meetup and the New York R and Government & Public Sector R Conferences, an Adjunct Professor at Columbia Business School, and a Visiting Lecturer at Princeton University. With a masters from Columbia University in statistics and a bachelors from Muhlenberg College in mathematics, he has experience in both academic research and industry. Jared oversees the long-term direction of the company and acts as Lead Data Scientist, researching the best strategy, models and algorithms for modern data needs. This is in addition to his client-facing consulting and training. He specializes in data management, multilevel models, machine learning, generalized linear models, visualization and statistical computing. He is the author of R for Everyone (now in its second edition), a book about R Programming geared toward Data Scientists and Non-Statisticians alike. The book is available from Amazon, Barnes & Noble and InformIT. The material is drawn from the classes he teaches at Columbia and is incorporated into his corporate training. Very active in the data community, Jared is a frequent speaker at conferences, universities and meetups around the world. He's an R Consortium Board Member. His writings on statistics can be found at jaredlander.com.

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Presented at the 2023 New York R Conference (July 13, 2023)

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