R-covr-3.3.1.tgz


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Description

R-covr - Test Coverage for Packages

Property Value
Distribution NetBSD 7.2
Repository NetBSD amd64
Package filename R-covr-3.3.1.tgz
Package name R-covr
Package version 3.3.1
Package release -
Package architecture amd64
Package type tgz
Category R devel math
Homepage https://CRAN.R-project.org/package=covr
License gnu-gpl-v3
Maintainer -
Download size 263.76 KB
Installed size 477.61 KB
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.

Alternatives

Package Version Architecture Repository
R-covr-3.3.1.tgz 3.3.1 i386 NetBSD
R-covr - - -

Requires

Name Value
R >= 2.2.1nb2
R-crayon >= 1.3.4
R-digest >= 0.6.20
R-httr >= 1.4.1
R-jsonlite >= 1.6
R-rex >= 0
R-withr >= 1.0.2
R-yaml >= 2.2.0

Download

Type URL
Mirror ftp.netbsd.org
Binary Package R-covr-3.3.1.tgz
Source Package R-covr

Install Howto

Install R-covr tgz package:

# pkg_add R-covr

Files

Path
/usr/pkg/lib/R/library/covr/libs/covr.so

See Also

Package Description
R-crayon-1.3.4.tgz Colored terminal output
R-curl-4.2.tgz Modern and flexible web client for R
R-data.table-1.12.2.tgz Extension of 'data.frame'
R-date-1.2.38.tgz Functions for Handling Dates
R-desc-1.2.0.tgz Manipulate DESCRIPTION files
R-dichromat-2.0.0.tgz Color schemes for dichromats
R-digest-0.6.20.tgz Create compact hash digests of R objects
R-dplyr-0.8.3.tgz Grammar of data manipulation
R-e1071-1.7.2.tgz Misc Functions of the Department of Statistics (e1071), TU Wien
R-effects-4.1.1.tgz Effect displays for linear, generalized linear, and other models
R-ellipsis-0.2.0.1.tgz Tools for working with
R-emdbook-1.3.11.tgz Support functions and data for "Ecological Models and Data"
R-energy-1.7.6.tgz E-statistics: multivariate inference via the energy of data
R-estimability-1.3.tgz Tools for assessing estimability of linear predictions
R-evaluate-0.14.tgz Parsing and evaluation tools
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