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There are answered questions for how to install R packages which do not come in the r-essentials build for Jupyter. But the R version which comes with Anaconda Jupyter is sometimes back a level from the most recent at CRAN.

The trouble is that when packages outside of r-essentials are loaded, a warning is issued that the packages have been built with an R version which is more recent than that installed. Installation continues, but there clearly is the risk that because of the version skew between the packages and the R version, something could go wrong during execution.

Is there an always up-to-date r-essentials some place which can be used with Anaconda Jupyter?

This is for Windows 7, and R version 3.4.3.

halfer
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    FWIW those messages can be safely ignored 99.9% of the time when you're in-series (i.e. 3.4.x). – hrbrmstr Dec 20 '17 at 19:05
  • @hrbrmstr True. I do wish CRAN/R had a better way of dealing with versioning (by default) though. – Dason Dec 20 '17 at 19:25
  • The versioning is great IMO. You can always install from source (perma-archive) and the default to net-new upon R version release. But I also run a CRAN mirror at home and maintain my own home pkg mini-CRAN so I'm likely very biased :-) – hrbrmstr Dec 20 '17 at 19:30

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