Sat, 01 Mar 2014

RcppEigen 0.3.2.0.2

A new bug-fix / maintenance release of RcppEigen is now on CRAN. RcppEigen brings the Eigen C++ template library for linear algebra to R.

This release updates the RcppEigen.package.skeleton() function for a needed change in R, updates and extends the code example used by this skeleton package generator, and updates a few things now that Rcpp 0.11.0 is out.

Changes in RcppEigen version 0.3.2.0.3 (2014-03-01)

• Updated and extended RcppEigen.package.skeleton() to use several examples via Rcpp Attributes; also removed the deprecated namespace argument

• Updated skeleton package example for Rcpp 0.11.0 or later by removing needed for linking with user library

• Updated files DESCRIPTION, NAMESPACE, src/Makevars and src/Makevars.win similarly

Courtesy of CRANberries, there are diffstat reports for the most recent release relative to the preceding version.

Questions, comments etc about RcppEigen 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.

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RcppArmadillo 0.4.100.0

A new minor upstream release 4.100 of the Armadillo templated C++ library for linear algebra was finalised by Conrad yesterday. I rolled up the corresponding RcppArmadillo release 0.4.100.0 which is now on CRAN and will go to Debian shortly.

Changes in RcppArmadillo version 0.4.100.0 (2014-02-28)

• Upgraded to Armadillo release Version 4.100.0 (Dirt Cruiser)

  • added normalise() for normalising vectors to unit p-norm

  • extended the field class to handle 3D layout

  • extended eigs_sym() and eigs_gen() to obtain eigenvalues of various forms (eg. largest or smallest magnitude)

  • automatic SIMD vectorisation of elementary expressions (eg. matrix addition) when using Clang 3.4+ with -O3 optimisation

  • faster handling of sparse submatrix views

  • workaround for a bug in LAPACK 3.4

Courtesy of CRANberries, there is also a diffstat report for the most recent release As always, 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.

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