The official 'r-base' for @Docker is now at R 4.0.0. As the underlying package awaits a 'transition' into @Debian proper (along with rebuilds of all reverse depends), one cannot yet install prebuilt r-cran-* packages (from R 3.*) so install from source. #RockerProject #rstats

fortunes::fortune(314) /cc @hadleywickham @AchimZeileis #rstats

RcppArmadillo 0.9.870.2.0 on CRAN: More Upstream Finesse R bindings to powerful and expressive C++ matrix library dirk.eddelbuettel.com/blog/2… #rcpp #rstats

And not faking it as the hourly (and somewhat visible) cron job came in as expected at the next run:

R^4 #26: Upgrade to R 4.0.0 A 'live' upgrade to R 4.0.0 on my @Ubuntu workstation Introducing R^$ Lightning Talk Video #4 dirk.eddelbuettel.com/blog/2… #rstats

And the rocker/r-base:4.0.0 image (based on @Debian testing plus experimental plus a small PPA of mine with R 4.0.0 compatible packages for r-recommended) is now live. #rstats #rocker

New #Rcpp record: Used by every other compiled CRAN #Rstats package. I.e. we now have 50% coverage among packages using compiled code. And a little under 1/8th of all CRAN packages. [Note: So far didn't exclude dupes which CRAN has e.g. pre-release, will fix going forward.]

#Rcpp just hit 1000 citations per @google scholar -- thanks so much to everybody who relies on #Rcpp to integrate #Rstats and #Cpp, and of course especially to those who contribute code, documentation, testing or suggestions. /cc @jstatsoft

R 4.0.0 arrives in _less than 72 hours_. Test it **now** (on your code). A Docker recipe follows below. #rstats