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 Travis.
Package details |
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Maintainer | Harel Lustiger <tidylab@gmail.com> |
License | MIT + file LICENSE |
Version | 0.19.30 |
URL | https://github.com/data-science-competitions |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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