I am wishing to take advantage of the language agnostic element of the Conda package manager. However, it does not mirror the CRAN package repository, which is deterring my team from using Conda to manage packages for R.
Is there a work around for this or plans to extend the library? I am interested in installing packages like 'quanteda' and 'xgboost' without installing all the packages independently?
This would allow us to do all our package management in Conda as a team.
What about using conda r channel and packages when available and in addition install r packages from CRAN when they are only available there? This is what our team is doing and has been working fine.
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