Luna is still under-development still: please consider this a beta/test release.
Please read the overview describing installation options to find the best option for your platform. Binary executables are available for macOS, x86_64 and Windows from this folder:
Prior to installing Luna binary executables, we strongly recommend that you figure out how to do the following:
get a text editor: ensure you have a text editor that works with plain-text files (i.e. not a word processor), either old-school (e.g.
nano, both of which are in the standard luna Docker container) or new-school (e.g. Atom, which is free, or Sublime Text, which is not)
get R : the R project for statistical computing is obviously necessary to use lunaR -- but even if you don't plan to use lunaR, it will help when working with Luna output.
Download the archive named
Go the the command line on your machine, i.e. [Terminal] for macOS.
Fourth unzip/untar the archive, which will extract three files (
behead) into the current directory. (For the Windows download, there will be an additional file,
Test if it works by typing
./luna. You should see something like:
=================================================================== +++ luna | v0.2, 16-Mar-2019 | starting 18-Mar-2019 15:16:00 +++ =================================================================== usage: luna [sample-list|EDF] [n1] [n2] [@parameter-file] [sig=s1,s2] [v1=val1] < command-file
To enable you to run luna from any folder, place all three (or four) files in a folder that is in your command path (e.g.
'C:\Program Files\for Windows. Alternatively, add the folder containing these files to your Path environment variable.
For Mac users only, there will be a second file named
This is a binary version of lunaR package. After
downloading, type this on the Terminal command line:
R CMD INSTALL luna_0.2.tgz
This should install the
luna library for R, which can be started
with the following command (from the R prompt):
See lunaR for more details.