RcppArmadillo 0.9.100.5.0
A new RcppArmadillo release 0.9.100.5.0, based on the new Armadillo release 9.100.5 from earlier today, is now on CRAN and in Debian.
It once again follows our (and Conrad's) bi-monthly release schedule. Conrad started with a new 9.100.* series a few days ago. I ran reverse-depends checks and found an issue which he promptly addressed; CRAN found another which he also very promptly addressed. It remains a true pleasure to work with such experienced professionals as Conrad (with whom I finally had a beer around the recent useR! in his home town) and of course the CRAN team whose superb package repository truly is the bedrock of the R community.
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) 479 other packages on CRAN.
This release once again brings a number of improvements to the sparse matrix functionality. We also also one use case of the OpemMP compiler and linker flags which will likely hit a number of the by now 499 (!!) CRAN packages using RcppArmadillo.
Changes in RcppArmadillo version 0.9.100.5.0 (2018-08-16)
Upgraded to Armadillo release 9.100.4 (Armatus Ad Infinitum)
faster handling of symmetric/hermitian positive definite matrices by
solve()faster handling of
inv_sympd()in compound expressionsadded
.is_symmetric()added
.is_hermitian()expanded
spsolve()to optionally allow keeping solutions of systems singular to working precisionnew configuration options
ARMA_OPTIMISE_SOLVE_BANDandARMA_OPTIMISE_SOLVE_SYMPDsmarter use of the element cache in sparse matricessmarter use of the element cache in sparse matrices
Aligned OpenMP flags in the RcppArmadillo.package.skeleton used Makevars,.win to not use one C and C++ flag.
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.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.
