1. Installation - adam-zlatniczki/dimensional_causality GitHub Wiki

The install process assumes that your Python/R environment was built on the same architecture as your processor. This means that if you have a 64 bit OS but use 32 bit Python or R, then the package won't work. In that case you manually have to modify the install scripts by adding the '-m32' flag to the g++ commands. Typical installation time depends on your machine, but in general, a few minutes should be sufficient. The installation process was tested with GNU g++ 7.2.0, PIP 18.0, Rtools 3.4.0.1964.

1.1 - C++

1.1.1 - Prerequisites

  • Windows
    • Install mingw
    • Add its bin directory to your system path
  • Unix
    • Run 
      apt-get install g++
apt-get install make

1.1.2 - Installation

  • move to C++/OpenMP
  • On Windows, run mingw32-make
  • On Unix, run make
  • the built dll/so can be found in the C++/OpenMP/bin directory

1.2 - Python

1.3.1 - Prerequisites

  • Windows
    • Install mingw
    • Add its bin directory to your system path
  • Unix
    • Run apt-get install g++

1.3.2 - Installation

  • move to the root directory, where you can find setup.py
  • run pip install .

1.3 - R

1.3.1 - Prerequisites

  • Windows:
    • Install rtools
    • Make sure that Rtools\bin and Rtools\mingw_XX\bin (XX being 32 or 64, depending on your OS) are added to your system path (you should set this during the Rtools install with a checkbox)
  • Unix:
    • Run 
      apt-get install g++
apt-get install make

1.3.2 - Installation

  • move to the R directory
  • run R CMD INSTALL dimensionalcausality