Site icon R-bloggers

BH 1.72.0-2 on CRAN

[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.

Yesterday’s release of BH 1.72.0-1 was so much fun we decided to do it again 🙂

More seriously, and as mentioned, we have to do some minor adjustments as required by CRAN. One is to ensure all filenames fit with their full paths into a shorter limit imposed by an ancient tar standard. So I always rename inst/include/boost/numeric/odeint/stepper/generation/karp54_classic.hpp by shortening it to .../karp54_cl.hpp and adjust the one file that includes this internal file. Not a big deal, and done for years.

But this time, and inadvertendly, I also renamed a similarly-named file one directory higher. And it gets included by some other files, which then fail and bark. My thanks to Alexey Shiklomanov for noticing this, letting me know, and testing a fixed package. I now wish his ODE-solving package was already on CRAN so that I’d known sooner 😉 as seemingly of the current 192 reverse dependencies, none are doing ODE maths.

No other changes, and sorry for the double download of both 1.72.0-1 and 1.72.0-2 (if you were fast enough to catch the -1 file).

Via CRANberries, there is a diffstat report relative to the previous release.

Comments and suggestions about BH are welcome via the issue tracker at the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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.