Release of psd 1.0 to CRAN

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!

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s