We are thrilled to announce a new big RcppArmadillo release! Conrad recently moved Armadillo to the 8.* series, with significant improvements and speed ups for sparse matrix operations, and more. See below for a brief summary.
This also required some changes at our end which Binxiang Ni provided, and Serguei Sokol improved some instantiations. We now show the new vignette Binxiang Ni wrote for his GSoC contribution, and I converted it (and the other main vignette) to using the pinp package for sleeker pdf vignettes.
This release resumes our bi-monthly CRAN release cycle. I may make interim updates available at GitHub “as needed”. And this time I managed to mess up the reverse depends testing, and missed one
sync() call on the way back to R—but all that is now taken care of.
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) 405 other packages on CRAN.
A high-level summary of changes follows.
Changes in RcppArmadillo version 0.8.100.1.0 (2017-10-05)
Upgraded to Armadillo release 8.100.1 (Feral Pursuits)
faster incremental construction of sparse matrices via element access operators
faster diagonal views in sparse matrices
SpMatto save/load sparse matrices in coord format
.load()to allow specification of datasets within HDF5 files
affmul()to simplify application of affine transformations
warnings and errors are now printed by default to the
new configuration options
Sparse matrices call
.sync()before accessing internal arrays (Binxiang Ni in #171)
The sparse matrix vignette has been converted to Rmarkdown using the pinp package, and is now correctly indexed. (#176)