RcppArmadillo 0.3.4.0

September 6, 2012
By

(This article was first published on Thinking inside the box , and kindly contributed to R-bloggers)

A new major released of Armadillo
came out earlier today. I prepared the corresponding RcppArmadillo
package 0.3.4.0 which also arrived on CRAN
earlier today. This released contains a few performance improvements, the beginnings of support of sparse matrices
and more, see below. We also post the NEWS entry for the beta release which
was prepared, but not uploaded to CRAN to minimise the upload frequency
there. On the RcppArmadillo side,
two enhancements were made for the fastLm() function for faster
linear model fits.

Changes in RcppArmadillo version 0.3.4.0 (2012-09-06)

  • Upgraded to Armadillo release 3.4.0 (Ku De Ta)

    • added economical QR decomposition: qr_econ()

    • added .each_col() & .each_row() for vector operations repeated on each column or row

    • added preliminary support for sparse matrices, contributed by Ryan Curtin et al. (Georgia Institute of Technology)

    • faster singular value decomposition via divide-and-conquer algorithm

    • faster .randn()

  • NEWS file converted to Rd format

Changes in RcppArmadillo version 0.3.3.91 (2012-08-30)

  • Upgraded to Armadillo release 3.3.91

    • faster singular value decomposition via "divide and conquer" algorithm

    • added economical QR decomposition: qr_econ()

    • added .each_col() & .each_row() for vector operations repeated on each column or row

    • added preliminary support for sparse matrices, contributed by Ryan Curtin, James Cline and Matthew Amidon (Georgia Institute of Technology)

  • Corrected summary method to deal with the no intercept case when using a formula; also display residual summary() statistics

  • Expanded unit tests for fastLm

Courtesy of
CRANberries, there
is also a diffstat report
for 0.3.4.0 relative to 0.3.2.4
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.

To leave a comment for the author, please follow the link and comment on their blog: Thinking inside the box .

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