[Rcpp-devel] [ANN] RcppArmadillo 0.7.960.1.0
Dirk Eddelbuettel
edd at debian.org
Fri Aug 18 02:51:31 CEST 2017
A new RcppArmadillo release is now on CRAN after quite some testing on both
our end, and at CRAN. It contains an excellent Google Summer of Code
contribution by Binxiang Ni which greatly expands sparse matrix support, as
well as a few other additions. See the included blog post below, the full
version with hyperlinks is at
http://dirk.eddelbuettel.com/blog/2017/08/17#rcpparmadillo_0.7.960.1.0
Thanks, Dirk
Thu, 17 Aug 2017
RcppArmadillo 0.7.960.1.0
armadillo image
The bi-monthly RcppArmadillo release is out with a new version 0.7.960.1.0
which is now on CRAN, and will get to Debian in due course.
And it is a big one. Lots of nice upstream changes from Armadillo, and
lots of work on our end as the Google Summer of Code project by Binxiang
Ni, plus a few smaller enhancements -- see below for details.
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) 379 other packages on CRAN---an increase of 49 since the last
CRAN release in June!
Changes in this release relative to the previous CRAN release are as
follows:
Changes in RcppArmadillo version 0.7.960.1.0 (2017-08-11)
* Upgraded to Armadillo release 7.960.1 (Northern Banana Republic
Deluxe)
* faster randn() when using OpenMP (NB: usually omitted when used
fromR)
* faster gmm_diag class, for Gaussian mixture models with
diagonal covariance matrices
* added .sum_log_p() to the gmm_diag class
* added gmm_full class, for Gaussian mixture models with full
covariance matrices
* expanded .each_slice() to optionally use OpenMP for
multi-threaded execution
* Upgraded to Armadillo release 7.950.0 (Northern Banana Republic)
* expanded accu() and sum() to use OpenMP for processing
expressions with computationally expensive element-wise
functions
* expanded trimatu() and trimatl() to allow specification of the
diagonal which delineates the boundary of the triangular part
* Enhanced support for sparse matrices (Binxiang Ni as part of Google
Summer of Code 2017)
* Add support for dtCMatrix and dsCMatrix (#135)
* Add conversion and unit tests for dgT, dtT and dsTMatrix (#136)
* Add conversion and unit tests for dgR, dtR and dsRMatrix (#139)
* Add conversion and unit tests for pMatrix and ddiMatrix (#140)
* Rewrite conversion for dgT, dtT and dsTMatrix, and add
file-based tests (#142)
* Add conversion and unit tests for indMatrix (#144)
* Rewrite conversion for ddiMatrix (#145)
* Add a warning message for matrices that cannot be converted
(#147)
* Add new vignette for sparse matrix support (#152; Dirk in #153)
* Add support for sparse matrix conversion from Python SciPy
(#158 addressing #141)
* Optional return of row or column vectors in collapsed form if
appropriate #define is set (Serguei Sokol in #151 and #154)
* Correct speye() for non-symmetric cases (Qiang Kou in #150 closing
#149).
* Ensure tests using Scientific Python and reticulate are properly
conditioned on the packages being present.
* Added .aspell/ directory with small local directory now supported by
R-devel.
Courtesy of CRANberries, there is a diffstat report. 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.
/code/rcpp | permanent link
--
http://dirk.eddelbuettel.com | @eddelbuettel | edd at debian.org
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