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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.

copied from cf-staging / r-covr

Installers

Info: This package contains files in non-standard labels.
  • linux-64 v3.6.4
  • osx-64 v3.6.4
  • osx-arm64 v3.6.4
  • win-64 v3.6.4

conda install

To install this package run one of the following:
conda install conda-forge::r-covr
conda install conda-forge/label/cf201901::r-covr
conda install conda-forge/label/cf202003::r-covr
conda install conda-forge/label/gcc7::r-covr

Description


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