RcppArmadillo 0.8.100.1.0 is available in the drat repo for the RcppCore org.
See the README.md at https://github.com/RcppCore/drat which has this exammple:
# first add the repo
drat:::add("RcppCore")
# either install just one or more given packages
install.packages("RcppArmadillo")
# or update already installed packages
update.packages()
You can also add the repo URL by hand to options("repos"), or supply it to
install.packages(), or ... I happen to like drat. The files NEWS.Rd and
ChangeLog have the goods, I make a fuller announcement if and when it makes
it to CRAN.
There are a rathre fair number of upstream changes in here -- making it the
first Armadillo release by Conrad with an 8.* number. It also has further
sparse matrix improvements from our end thanks to Serguei and Binxiang.
I had uploaded this to CRAN based on a reverse depends check ... where the
previous version was still in the loadpath. Ooops. So I overlooked a few
build or test errors for which I need a bit of help from the maintainers. In
particular, packages
biglasso
bigstatsr
HSAR
netdiffuseR
repolr
now come up as failing their tests. I am BCCing the maintainers and kindly
ask if they could take a look too --- I don't always have all suggested
packages installed.
In the case of HSAR, I found that a one life of code needs a changed imposed
by Conrad as the sparse-to-dense conversion no longer works with with a
copy. This patch covers it:
diff -ru HSAR.orig/src/diagnostics.cpp HSAR/src/diagnostics.cpp
--- HSAR.orig/src/diagnostics.cpp 2016-05-24 13:58:45.000000000 -0500
+++ HSAR/src/diagnostics.cpp 2017-10-07 13:24:31.471883248 -0500
@@ -10,7 +10,7 @@
sp_mat SW =
I_sp+rho*W+pow(rho,2)*(W*W)+pow(rho,3)*(W*W*W)+pow(rho,4)*(W*W*W*W)+pow(rho,5)*(W*W*W*W*W);
- vec d = SW.diag();
+ vec d(SW.diag());
direct = sum( d )/n * betas ;
total = accu( SW )/n * betas ;
For the other packages, I had less luck as the failures are generally in the
tests and often require packages I have not installed (here at home, and for
technical I don't currently have access to the machine where I usually run
the tests).
Sp I would be grateful if the maintainers of packages
biglasso, bigstatsr, netdiffuseR, repolr
(or also any interested volunteers) could take a peek. It seems of the now
over 400 CRAN package using RcppArmadillo, all others are fine too -- and I
suspect these four also need only small and simple changes. Happy to discuss
here.
Cheers, Dirk
--
http://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org
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