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Developing an Xpress Insight App for FICO® Platform using R

To use R in Mosel and Python apps running on Xpress Insight on FICO® Platform, you must declare your dependency on R by using Conda, in the same way as for Python and Java.

For R, if you only need to use packages that are available in the Conda channels, you must declare a dependency on r-base and your required packages within the environment.yml file. Conda has R packages on the conda-forge channel.

Some R packages are not available through Conda. Xpress Insight supports the use of packages from CRAN. To obtain packages from CRAN, your Xpress Insight app must declare an additional package dependency in the environment.yml file: r-env. The app should then also supply a DESCRIPTION file as a model resource listing the R packages that your app depends on.

The minimum viable environment.yml declaring r-base and r-env packages is as follows: 
channels:
	-	conda-forge
dependencies:
- python=3.10.8
- r-base
- r-renv
The DESCRIPTION file 
Depends:
    R (>= 3.1)
Imports:
    abbreviate
For more details of the correct format of a DESCRIPTION file, see the R documentation.
Warning: CRAN holds two types of packages: "pure R" packages and those that require compilation. Whilst packages that require compilation may work, they must be compiled before use and this can take many minutes. Given this must be done each time a worker creates an environment for an app, this can result in delays in job execution. We strongly recommend that you use pure R packages only. The package description within CRAN declares whether the package requires compilation. Take care that even if a particular package does not require compilation, one or more of its dependencies might.
Parent Topic Building a Basic Xpress Insight App

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