covr: Test Coverage for Packages

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 the tests. It is an indirect measure of test quality. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/Fortran code.

Version: 1.2.0
Depends: R (≥ 3.1.0), methods
Imports: jsonlite, rex, devtools, httr, crayon, htmltools
Suggests: R6, knitr, shiny (≥ 0.11.1), DT, testthat, rstudioapi (≥ 0.2)
Published: 2015-06-25
Author: Jim Hester [aut, cre]
Maintainer: Jim Hester <james.f.hester at gmail.com>
BugReports: https://github.com/jimhester/covr/issues
License: MIT + file LICENSE
URL: https://github.com/jimhester/covr
NeedsCompilation: yes
Materials: README
CRAN checks: covr results

Downloads:

Reference manual: covr.pdf
Vignettes: How does covr work anyway
Package source: covr_1.2.0.tar.gz
Windows binaries: r-devel: covr_1.2.0.zip, r-release: covr_1.2.0.zip, r-oldrel: covr_1.2.0.zip
OS X Snow Leopard binaries: r-release: covr_1.2.0.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: covr_1.2.0.tgz
Old sources: covr archive

Reverse dependencies:

Reverse suggests: bnclassify, cellranger, dendextend, googlesheets, pmc, simmer, tidyr