Site icon R-bloggers

x13binary 1.1.39-1

[This article was first published on Thinking inside the box , and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The US Census Bureau released a new build 1.1.39 of their X-13ARIMA-SEATS program, released as binary and source. So Christoph and went to work and updated our x13binary package on CRAN.

The x13binary package takes the pain out of installing X-13ARIMA-SEATS by making it a fully resolved CRAN dependency. For example, if you install the excellent seasonal package by Christoph, then X-13ARIMA-SEATS will get pulled in via the x13binary package and things just work: Depend on x13binary and on all relevant OSs supported by R, you should have an X-13ARIMA-SEATS binary installed which will be called seamlessly by the higher-level packages such as seasonal or gunsales.

So now the full power of the what is likely the world’s most sophisticated deseasonalization and forecasting package is now at your fingertips and the R prompt, just like any other of the 10,500+ CRAN packages.

Not many packaging changes in this release besides updating the underlying builds, but we switched our versioning scheme to reflect that our releases are driven by the US Census Bureau releases. But thanks to an initial contribution by David Schaub we now support the ‘armhf’ architecture common on Chromebooks running Linux.

Courtesy of CRANberries, there is also a diffstat report for this release.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

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

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.