Skip to content

dklein-pik/piktests

 
 

Repository files navigation

Run PIK Integration Tests

R package piktests, version 0.9.1

CRAN status R build status codecov r-universe

Purpose and Functionality

This package includes integration tests for selected models and packages related to those models.

Installation

For installation of the most recent package version an additional repository has to be added in R:

options(repos = c(CRAN = "@CRAN@", pik = "https://rse.pik-potsdam.de/r/packages"))

The additional repository can be made available permanently by adding the line above to a file called .Rprofile stored in the home folder of your system (Sys.glob("~") in R returns the home directory).

After that the most recent version of the package can be installed using install.packages:

install.packages("piktests")

Package updates can be installed using update.packages (make sure that the additional repository has been added before running that command):

update.packages()

Tutorial

The package comes with a vignette describing the basic functionality of the package and how to use it. You can load it with the following command (the package needs to be installed):

vignette("how-to-run-piktests") # How to run piktests

Questions / Problems

In case of questions / problems please contact Pascal Führlich [email protected].

Citation

To cite package piktests in publications use:

Führlich P, Dietrich J (2022). piktests: Run PIK Integration Tests. R package version 0.9.1, <URL: https://github.com/pik-piam/piktests>.

A BibTeX entry for LaTeX users is

@Manual{,
 title = {piktests: Run PIK Integration Tests},
 author = {Pascal Führlich and Jan Philipp Dietrich},
 year = {2022},
 note = {R package version 0.9.1},
 url = {https://github.com/pik-piam/piktests},
}

About

No description, website, or topics provided.

Resources

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • R 100.0%