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.
conda install -c conda-forge r-covr
conda install -c conda-forge/label/gcc7 r-covr
conda install -c conda-forge/label/cf201901 r-covr
conda install -c conda-forge/label/cf202003 r-covr