This template conforms to a conceptual model of **Analysis Projects** suggested by [Hadley Wickham](https://docs.google.com/document/d/1LzZKS44y4OEJa4Azg5reGToNAZL0e0HSUwxamNY7E-Y/). Using this template reduces: * Unnecessary variance between projects configurations; and * Development time spent on making a barebone project working for the first time. This is possible as the boilerplate comes with: * Fully configured test-suite, including code-coverage; and * Fully configured continuous-integration (CI) script for GitHub Actions.
Package details |
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Maintainer | Harel Lustiger <tidylab@gmail.com> |
License | MIT + file LICENSE |
Version | 1.4.1 |
URL | https://data-science-competitions.github.io/template.project/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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