Addition of EFA and nifty code

The code for EFA and nifty in both python and matlab has been added. A demo for utilizing the EFA code has been added along with the data file.

Publication in IUCrJ

This is the release described in our paper:

Meisburger, S.P., Xu, D. & Ando, N. (2021) REGALS: a general method to deconvolve X-ray scattering data from evolving mixtures. IUCrJ 8(2). https://doi.org/10.1107/S2052252521000555

Preprint on BioRxiv

This version of the code coincides with the posting of our preprint on BioRxiv (https://www.biorxiv.org/content/10.1101/2020.12.06.413997v1). It is marked as a pre-release, since the paper has not been peer reviewed. Following peer review, we will update the references and make a new release (v1.0).

Development version

This version of the code was previously maintained in a the private GitHub: https://github.coecis.cornell.edu/spm82/regals, and corresponds to the prune-for-public-release branch.