Conrad is readying his fabulous
Armadillo C++ template library for
linear algebra for a new 3.0.0 release, and started to make pre-releases.
His version 2.99.1 came about a good week ago, it took us a few days to make
a small required change in
(which is our R package providing Armadillo to R via
but our release 0.2.37 was ready last weekend.
But then the good folks at CRAN did not
want it. That is at the same time disappointing to us as developers / maintainers:
work we do will not get pushed to largest number of users immediately. On the
other hand, we do understand that CRAN is under a lot of strain. Years ago
John Fox demonstrated exponential growth of packages at CRAN, the rate was
then around 40% per year. Right now the number of packages exceeds 3600, and
there are often several dozen daily updates (which you can follow with the
CRANberries service for html and rss
I had set up years ago). And the three CRAN maintainers all have full-time
jobs as academics, and they also happen to be busy R Core members. Plus the
new R version 2.15.0 is to be released at the end of the week, and this usually entails a number of
package changes, putting extra strain on CRAN right now. For more on new or updated CRAN policies, see
this long thread.
Now, as I wrote on the rcpp-devel list,
there is of course always
for a direct installation from R-Forge. But as I just put
0.2.38 there, it may take the running of the batch updates on the site so if
you want it now, follow this link to my local Rcpp archive.
All that said, here are the NEWS entries for these two last releases:
0.2.38 2012-03-28 o Upgraded to Armadillo release 2.99.2 "Antarctic Chilli Ranch (Beta 2)" * added .i() * much faster handling of .col() and .row() * expressions X=A.i()*B and X=inv(A)*B are automatically converted to X=solve(A,B) 0.2.37 2012-03-19 o Upgraded to Armadillo release 2.99.1 "Antarctic Chilli Ranch (Beta 1)" * added non-contiguous submatrix views * added hist() and histc() * faster handling of submatrix views * faster generation of random numbers * faster element access in fixed size matrices * better detection of vector expressions by sum(), cumsum(), prod(), min(), max(), mean(), median(), stddev(), var()