|Create Date||15 January 2016|
|Last Updated||13 May 2016|
Architecture: 64 bits
Operating system: Windows 7, Windows server 2008, Windows 8, Windows server 2012, Windows 10
When downloading the package, or launching the installer, the antivirus may tell that the executable file is risky, considered malicious and stopped working. This is due to the fact that MonolixSuite embeds a compiler for the Mlxtran language. Thus, the antivirus put it in quarantine or remove it. Two solutions are available:
1/ Deactivate your antivirus auto-protection process during download and installation, or
2/ Restore the file from the quarantine.
To know more, please see the following link.
none. Matlab is not necessary to run this version of the software, a stand alone version of Monolix is provided. However, the user can use its own Matlab to run Monolix. In that case, supported Matlab version are between Matlab2010bSP1 and Matlab2015b.
perl is required to run perlScripts and the validation suite; it is not required otherwise.
For using the calculation engine Simulx, the user can not access directly to it as no user interface is provided, yet. Thus, the user should have R (with a version greater than 3.2 is recommended) and download the R-package mlxR (see here) to use the calculation engine Simulx.
About the installer
- Copy the installer on your Desktop or in your windows temporary directory.
- Double click on the executable and follow the instructions.
- Icons for Datxplore, Mlxplore, and Monolix will appear on the desktop.
Licence and activation
Mlxplore, Monolix and Simulx require an activation key. Please go to the download page if you do not have your license key yet. The licence activation procedure can be seen also on the download page at the licence activation section.
Under Windows operating system, the icons for Datxplore, Mlxplore and Monolix are on the desktop and available through the start menu.
The user can also go to <InstallationMenu MonolixSuite2016R1>/Lixoft/MonolixSuite2016R1/bin to access to the .bat for Datxplore, Mlxplore, and Monolix.
For the calculation engine Simulx, the user should access it through R.
The data set, the Mlxtran syntax and each software has on-line documentation.
- Data set guide here
- Mlxtran guide here
- Datxplore guide here
- Mlxplore guide here
- Monolix guide here
- Simulx guide using mlxR R-package here