With the
Rcpp 0.8.0 release on Monday,
Romain, Doug and I were able to follow-up with a new
RcppArmadillo release.
RcppArmadillo uses
Rcpp
(and a few dozen lines of 'glue') to provide a transparent interface from
R to
Conrad Sanderson's impressive
Armadillo library for linear algebra.
This new release offers a number of key improvements:
- Headers-only: given that Armadillo is
a C++ template library, we now ship its headers in the package. In the
previous release, we required Armadillo to be built as a library. As this
Armadillo library mostly provides things we get from R for free (such as access to Blas,
where available), we can do without it and stick to templates-only.
The upside is that the usage
requirements for RcppArmadillo have become much simpler:
R,
a C++ compiler and Rcpp.
In practice, this also means that Windows users will now get
pre-built binaries via CRAN
- Update to Armadillo 0.9.8: We added the headers from Conrad's most
recent release.
- The
fastLm() function is now generic and provides a default and formula
interface just like lm() along with standard methods
print, summary and predict. The
documentation is enhanced as well and now contains an example of a
rank-deficient model matrix where the non-pivoting scheme of
fastLm() fails.
- Doug Bates joined Romain and myself as an author of RcppArmadillo
While we had tested this quite rigourously, the combination of some last
minute changes that were meant to be stylistic-only, some troubles with the
tests and builds at CRAN that were not apparent in all our tests (hint: do
not yet use dynamic help features referencing other packages even if you have
a Depends: on them) and an upcoming travel deadline meant that we missed a
gotcha on Windows---so release 0.2.1 had to follow a few hours after the
short-lived 0.2.0.
More information is on the
RcppArmadillo page.
Questions, comments etc should go to the
rcpp-devel mailing list
off the R-Forge page.
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