How to get MCX

1. Download the Latest Release
1.1. Test the nightly-build packages
1.2. Get the latest source code
1.3. Contribute to MCX
2. References

1. Download the Latest Release

Current Release: MCX and MCXLAB v2017.3 (1.0-RC1), released on Apr. 2, 2017

Please read the Release notes here.

Please download MCX and MCXLAB v2017.3 at our registration/download page. We are greatly appreciated if you can tell us a little bit about you and your related research by registering your copy of MCX. Binary executable (for 32bit and 64bit machines) and source code packages are both provided. For MCXLAB, a single package containing the pre-compiled Matlab MEX files for 64bit Linux and 64bit Windows is provided.

 

Previous Beta Release: MCX v2016.4, released on Apr. 23, 2016

Please read the Release notes here.

Previous Alpha Release: MCX 0.9.7-2, released on Sep. 23, 2014

Please read the Release notes here.

1.1. Test the nightly-build packages

Starting from Apr. 2016, we automatically compile MCX and MCXLAB on a daily basis and upload the binary packages to our nightly-build folder. If you want to try out the latest pre-compiled software, please browse the following links, and select the package that matches your OS:

for MCX
http://mcx.space/nightly/mcx/
for MCXLAB
http://mcx.space/nightly/mcxlab/

1.2. Get the latest source code

The latest code can be downloaded from the project's Github repository. This can be done using the following git command.

 git clone https://github.com/fangq/mcx.git mcx

After downloading the source code, please follow the instructions to compile and run the software. For windows user, instructions on compiling MCX with Visual Studio can be found here.

1.3. Contribute to MCX

If you are interested in contributing codes, testing data and documentation to MCX, please fork this project on github. Once your feature is fully developed in your forked branch, please send a pull request in order for MCX's developer to review your changes.

2. References

The author of this software would like you to acknowledge the use of this software in your related publications by citing the following paper:

You can also find more algorithm and implementation details about MCX in this paper.

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