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r-covr

Community

Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <http://codecov.io> or 'Coveralls' <http://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-covr

Usage Tracking

3.6.5
3.6.4
3.6.3
3.6.2
3.6.1
5 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <http://codecov.io> or 'Coveralls' <http://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.

Last Updated

Nov 10, 2025 at 09:01

License

MIT

Total Downloads

490.0K

Supported Platforms

macOS-64
macOS-arm64
win-64
linux-64