A new RcppArmadillo release based on the very recent Armadillo upstream release arrived on CRAN earlier today, and will get to Debian shortly.

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) 587 other packages on CRAN.

The (upstream-only again this time) changes are listed below:

• Upgraded to Armadillo release 9.400.2 (Surrogate Miscreant)

  • faster cov() and cor()

  • added .as_col() and .as_row()

  • expanded .shed_rows() / .shed_cols() / .shed_slices() to remove rows/columns/slices specified in a vector

  • expanded vectorise() to handle sparse matrices

  • expanded element-wise versions of max() and min() to handle sparse matrices

  • optimised handling of sparse matrix expressions: sparse % (sparse +- scalar) and sparse / (sparse +- scalar)

  • expanded eig_sym(), chol(), expmat_sym(), logmat_sympd(), sqrtmat_sympd(), inv_sympd() to print a warning if the given matrix is not symmetric

  • more consistent detection of vector expressions

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.