Creating an R Package
One of the fundamental roles of a statistician is to create methods to analyze data. This typically involves four components: developing the theory, translating the equations to computer code, a simulation study and a real data analysis. While these are enough to get published, it is unlikely your method will be used by others without a key fifth component: a software package. A package is a collection of reusable functions, the documentation that describes how to use them, tests and sample data. They provide a structured way to organize, use and distribute code to others and/or your future self. The objective of this workshop is to learn how to develop an \texttt{R} package. In addition to creating an \texttt{R} package from scratch, you will learn how to make it robust across platforms and future changes using continuous integration and unit testing. This workshop assumes familiarity with \texttt{R}, \texttt{RStudio}, writing functions, installing packages, loading libraries and requires a \texttt{GitHub} account. This will be an interactive workshop.

When: May 27th, 2019. 10am - 5pm
Where: Room 206/7 McIntyre Medical, 3655 Promenade Sir William Osler, Montreal QC, H3G 1Y6
What to bring: Laptop with R and RStudio installed and a GitHub account. There will be power outlets in the room.

* Space is limited, and allocated on a first-come, first-served basis.
** NB to students in the Biostatistics PhD program: this workshop counts towards BIOS 702.

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Have you written a function before (in any programming language) ? *
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Have you written an R package before? *
Have you used Git/GitHub before? *
Have you used continuous integration before? *
Have you written unit tests before? *
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