Blog Archives

RcppArmadillo 0.5.400.2.0

August 17, 2015
By
RcppArmadillo 0.5.400.2.0

A new Armadillo release 5.400.2 was just released by Conrad. Consequently, a new RcppArmadillo release 0.5.400.2.0 went out to CRAN and into Debian. 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...

Read more »

Rblpapi: Connecting R to Bloomberg

August 14, 2015
By
Rblpapi: Connecting R to Bloomberg

Whit, John and I are thrilled to announce Rblapi, a new CRAN package which connects R to the Bloomberg backends. Rebuilt from scratch using only the Bloomberg C++ API and the Rcpp and BH packages, it offers efficient and direct access from R to a truly vast...

Read more »

drat 0.1.0: Even more repository support

August 8, 2015
By
drat 0.1.0: Even more repository support

A new version 0.1.0 of the drat package arrived on CRAN today. Its name stands for drat R Archive Template, and it helps with easy-to-create and easy-to-use repositories for R packages, and is finding increasing by other projects. This version 0.1.0...

Read more »

RcppArmadillo 0.5.300.4.0

August 4, 2015
By
RcppArmadillo 0.5.300.4.0

A new Armadillo release 5.300.4 was prepared by Conrad the other day, and we prepared a new corresponding RcppArmadillo release 0.5.300.4.0 which is now on CRAN and in way into Debian. Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed...

Read more »

Evading the “Hadley tax”: Faster Travis tests for R

July 26, 2015
By
Evading the “Hadley tax”: Faster Travis tests for R

Hadley is a popular figure, and rightly so as he successfully introduced many newcomers to the wonders offered by R. His approach strikes some of us old greybeards as wrong---I particularly take exception with some of his writing which frequently portrays a particular approach as both the best and only one. Real programming, I think, is...

Read more »

RcppZiggurat 0.1.3: Faster Random Normal Draws

July 26, 2015
By
RcppZiggurat 0.1.3: Faster Random Normal Draws

After a slight hiatus since the last release in early 2014, we are delighted to announce a new release of RcppZiggurat which is now on the CRAN network for R. The RcppZiggurat package updates the code for the Ziggurat generator which provides very f...

Read more »

Rcpp 0.12.0: Now with more Big Data!

July 25, 2015
By
Rcpp 0.12.0: Now with more Big Data!

A new release 0.12.0 of Rcpp arrived on the CRAN network for GNU R this morning, and I also pushed a Debian package upload. Rcpp has become the most popular way of enhancing GNU R with C++ code. As of today, 423 packages on CRAN depend on Rcpp...

Read more »

RcppRedis 0.1.5

July 17, 2015
By

Another small update to RcppRedis arrived on CRAN this morning. The fix I made a few days ago addressing a unit test setup (for the rredis package loaded only for a comparison) didn't quite work out. Changes in version 0.1.5 (2015-07-17) Anothe...

Read more »

RcppTOML 0.0.4

July 17, 2015
By

We introduced RcppTOML in April with the initial CRAN release 0.0.3. It permits R to read the (absolutely awesome) TOML format which is simply fabulous for configuration files. A new version appeared on CRAN yesterday. We had observed a somewhat rare...

Read more »

RcppEigen 0.3.2.5.0

July 15, 2015
By

A new release of RcppEigen arrived on CRAN and in Debian yesterday. It synchronizes the Eigen code with the 3.2.5 upstream release. Once again, Yixuan Qiu did most of the heavy lifting in one very nice pull request, and I added some minor updates to ...

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



http://www.eoda.de









ODSC

CRC R books series













Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)