Release of psd 1.0 to CRAN

[This article was first published on The Geokook. » R, 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.

Power spectral density estimates of the Project MAGNET datasets with psd compared to those from stats::spectrum.

Power spectral density estimates of the Project MAGNET dataset from  psd::pspectrum (lines), compared to those from stats::spectrum (points).

Greetings, Interweb!

I’m pleased to announce psd 1.0, a long-overdue major update from the 0.* series which includes significant advancements in performance, improved clarity and consistency of documentation and method/class handling, and the elimination a few long-standing bugs.

Some major changes include:

  • Most importantly, all major bottlenecks have been eliminated with new c++ codes: the adaptive method is much faster now. Thanks to Dirk, Romain, and any other Rcpp (and RcppArmadillo) contributors for building such a fantastic package!
  • Unit testing: I’ve put in place the framework for unit-testing with testthat; so far there are only a few tests, but I’ll be adding more in the future. Thanks to Hadley and RStudio crew for yet another fantastic package!
  • Travis CI: automatic build-checking is done on each commit to the codebase. (How that system works so well is amazing.)
  • Dependency on fftw dropped: it’s been a frustrating process trying to ensure that the fftw dependency would be satisfied — my requests have generally fallen on deaf ears — so I dropped it; instead psd now uses good ole’ stats::fft, despite the speed disadvantage for very long timeseries. I justify this by noting the dramatic speed increases afforded by the new c++ code, and that only a single DFT needs to be calculated during the adaptive procedure.
  • Loss of some backwards compatibility: unfortunately I’ve been unable to reconcile changes with the silly things I built into the original versions, so you may find that scripts written for 0.4.* fail — if this is a major issue feel free to get in touch with me and hopefully we can straighten things out.

Please submit Issues/Requests through github. And, as always, I’m happy to supply a reprint of the journal article accompanying the package.

Cheers!

To leave a comment for the author, please follow the link and comment on their blog: The Geokook. » R.

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.

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)