GithubHelp home page GithubHelp logo

r-toolbox's Introduction

OLD version of the R-toolbox (based on the OSP Suite 8 and below). New version of the R-Toolbox (OSP 9 and above) can be found in the OSPSuite-R repository

About the Toolbox

The R Toolbox is a collection of R functions which allows the processing of models developed in PK-Sim® or MoBi® from within R. A variety of functions is offered to manipulate models, to simulate models, and to handle simulation results. The functions are designed very similar to the functions that are provided with the MoBi® Toolbox for Matlab®. Details are available in the build-in help of R upon loading the R package.

Installing the R Toolbox

The R Toolbox is provided to the user as a zip file. This zip file can be found under "C:\Program Files\Open Systems Pharmacology\MoBi Toolbox for R X.Y\MoBiToolboxForR__X.Y.Z_.zip" . The standard package install via zip files is used. On Windows, install.packages can install a binary package from a local zip file by setting argument repos to NULL. Rgui.exe has a menu Packages with a GUI interface to install.packages that may be used.

The R Toolbox is only available for the 64bit R (versions 3.5 or later).

Getting Started

  • Install nuget and add nuget.exe to your path
  • Install ruby version 2.2 or higher
  • clone the repository with recursive option
git clone <url.git> --recursive
  • restore nuget packages manually
nuget restore packages.config -PackagesDirectory packages
  • create the package and setup
rake create_setup[7.4.0]

Code Status

Build status

Code of conduct

Everyone interacting in the Open Systems Pharmacology community (codebases, issue trackers, chat rooms, mailing lists etc...) is expected to follow the Open Systems Pharmacology code of conduct.

Contribution

We encourage contribution to the Open Systems Pharmacology community. Before getting started please read the contribution guidelines. If you are contributing code, please be familiar with the coding standards.

License

R-Toolbox is released under the GPLv2 License.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.