Download

Try the new installer script mechanism.

Copy the following line of code to an instance of R with its working directory set to where you want to install VisionEvel.

If you would like to review the script before running it, just visit it in your browser.

source(ve.url<-"https://visioneval.github.io/assets/install/VE4-install.R")

The one-liner will download and run the VisionEval 4 installer script. The script will retrieve VisionEval packages from a selected VisionEval GitHub release (default: the latest release). There are a couple of different installation options you can pick from (default: install binary VisionEval packages for Windows). Pre-built packages are currently only available for Windows R 4.4.0 and later versions.

Install for Windows

VisionEval should start automatically after you finish the installation. If you chose one of the source code installations (downloading a snapshot or using a local clone) you will still need to run ve.build() (with RTools installed) to create a runnable version, then do ve.run() to start it.

Once you have a running version, the folders you set up as your “VE_HOME” (location of VisionEval code) and “VE_RUNTIME” (location of VisionEval models) will contain startup files to launch VisionEval with your version of R. Navigate to either of these folders, then double click one of the startup files:

• launch_RX.Y.bat to launch the standard R GUI with VisionEval
• Startup.Rdata to launch R by its automatic association with an .Rdata file (but that may not work right if you have multiple versions of R installed and the R version that launches automatically does not have VisionEval installed)
• VisionEval.Rproj to launch RStudio with VisionEval running (you’ll need to have RStudio installed of course)

Getting Started

Once R starts and you have been welcomed to VisionEval, you can follow the instructions under “Workflow” and “Editing and Running Models” on the Getting Started page.

Requirements

R

The current version of VisionEval is built for recent versions of R (R 4.4 and later). If you have a different version installed and cannot install one of the supported versions (and if you can’t or don’t want to do the full build yourself), please contact the VisionEval support team. You can get R here.

RStudio

Many people find the RStudio development environment convenient for working with VisionEval.

RStudio is particularly recommended if you plan to clone and explore the Visioneval source code from GitHub, and it is very popular among regular R users.

Mac/Linux users

VisionEval can be installed from source as well. Contact the VisionEval support team for more information on source installations. It’s a tedious process, but should work provided you have a capacious server (probably 16Gb RAM needed) and the patience to incrementally install quite a few operating system packages.

Questions

Questions about VisionEval installation can be directed to the VisionEval support team

The installers were built using the process described in the README.md file on GitHub