Showing 6 of total 6 results (show query)
r-lib
covr:Test Coverage for Packages
Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <https://about.codecov.io> or 'Coveralls' <https://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.
Maintained by Jim Hester. Last updated 1 months ago.
codecovcoveragecoverage-reporttravis-ci
18.0 match 337 stars 15.25 score 2.3k scripts 9 dependentsnealrichardson
skeletor:An R Package Skeleton Generator
A tool for bootstrapping new packages with useful defaults, including a test suite outline that passes checks and helpers for running tests, checking test coverage, building vignettes, and more. Package skeletons it creates are set up for pushing your package to 'GitHub' and using other hosted services for building and test automation.
Maintained by Neal Richardson. Last updated 2 years ago.
codecovskeleton-generatortestingtravis-ci
11.0 match 21 stars 4.02 score 2 scriptsmarkedmondson1234
googleAuthR:Authenticate and Create Google APIs
Create R functions that interact with OAuth2 Google APIs <https://developers.google.com/apis-explorer/> easily, with auto-refresh and Shiny compatibility.
Maintained by Erik Grönroos. Last updated 10 months ago.
apiauthenticationgooglegoogleauthroauth2-flowshiny
2.2 match 178 stars 12.84 score 804 scripts 13 dependentskwb-r
kwb.pkgbuild:R package for standardised development at KWB
Helper functions for automating R package development at KWB to a predefined style.
Maintained by Michael Rustler. Last updated 2 years ago.
automationbest-practicesproject-fakinpublicationr-package-automation
4.3 match 2 stars 3.78 score 1 scripts 1 dependentsfrbcesab
rcompendium:Create a Package or Research Compendium Structure
Makes easier the creation of R package or research compendium (i.e. a predefined files/folders structure) so that users can focus on the code/analysis instead of wasting time organizing files. A full ready-to-work structure is set up with some additional features: version control, remote repository creation, CI/CD configuration (check package integrity under several OS, test code with 'testthat', and build and deploy website using 'pkgdown'). This package heavily relies on the R packages 'devtools' and 'usethis' and follows recommendations made by Wickham H. (2015) <ISBN:9781491910597> and Marwick B. et al. (2018) <doi:10.7287/peerj.preprints.3192v2>.
Maintained by Nicolas Casajus. Last updated 1 months ago.
reproducible-researchresearch-compendium
2.0 match 40 stars 6.72 score 22 scripts