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Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab. RcppArmadillo integrates this library with the R environment and language–and is widely used by (currently) 727 other packages on CRAN.
Conrad recently released a new upstream version 9.900.1 of Armadillo which we packaged and tested as usual first as a ‘release candidate’ build and then as the release. As usual, logs from reverse-depends runs are in the rcpp-logs repo.
Apart from the new upstream release, we updated Travis use, ornamented the README a little, and smoothed over a rough corner from the recent R 4.0.0 release. All changes in the new release are noted below.
Changes in RcppArmadillo version 0.9.900.1.0 (2020-06-08)
Upgraded to Armadillo release 9.900.1 (Nocturnal Misbehaviour)
faster
solve()
for under/over-determined systemsfaster
eig_gen()
andeig_pair()
for large matricesexpanded
eig_gen()
andeig_pair()
to optionally provide left and right eigenvectorsSwitch Travis CI testing to R 4.0.0, use bionic as base distro and test R 3.6.3 and 4.0.0 in a matrix (Dirk in #298).
Add two badges to README for indirect use and the CSDA paper.
Adapt
RcppArmadillo.package.skeleton()
to a change in R 4.0.0 affecting what it exports inNAMESPACE
.
Courtesy of CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the R-Forge page.
If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.
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