Description
Hi everyone,
Turns out doing a PhD takes a lot of time and effort and it turns out my PhD has nothing to do with nested sampling, so it's been hard to find time to devote to this project. I would be very happy if someone is eager to take over this package with their own improvements and ideas. In the mean time, I want to stop feeling guilty about not checking my GitHub notifications because I spread myself too thin with open-source projects, so I just want to be clear that I cannot be a reliable maintainer of this package currently. I can manage straightforward compathelper PRs and version bumps, but that's about it right now.
There are a couple of thoughts I have about the current state of this package-
- Integrator rewrite + JOSS paper
So I wrote a whole JOSS paper about this package that is pretty much ready to go #78 . I've been stalled on it because the integrator in this package does not seem to have the same statistical performance as the state integrator in dynesty #80 . I've spent lots of time trying to figure out any differences in the code between the two packages, but I haven't found the culprit yet. It takes me a lot of time to make progress on this front because I have to spend ~a day relearning the nested sampling math and rereading the dynesty and NestedSamplers.jl code to figure out what's happening.
If someone wants to take charge of that PR it would be a huge step for this package, I think that would be a reasonable place to stamp a v1 and submit that JOSS paper.
- Ellipsoidal fitting
This package is one of my earlier Julia packages, so some of the code in the ellipsoid fitting routines could be better. I had thought of reworking these routines with the idea that each "Bound" is really just a distribution that I am fitting. In theory, this could simplify the code in this package by out-sourcing parts of the random number generation and fitting to other packages (e.g., adopting Distributions.jl and sub-typing AbstractBounds under a distribution type).
Activity