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Fit and compare complex models reliably and rapidly. Advanced nested sampling.

Results 37 UltraNest issues
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* UltraNest version: 3.4.6 * Python version: 3.9.7 * Operating System: Rocky Linux 8.5 (Green Obsidian) ### Description I have multiple similar time series data and I'm attempting to fit...

* UltraNest version: 3.4.4 * Python version: 3.10.4 * Operating System: Archlinux - 5.16.16-arch1-1 ### Description After successfully finishing a fit with the BXA tool, ultranest seems to have some...

* UltraNest version: 3.4.6 * Python version: 3.8 * Operating System: Ubuntu 20.04 ### Description I'm using UltraNest in parallel mode to fit a (non-Gaussian) mixture-model to a set of...

* UltraNest version: 3.4.4 * Python version: 3.8.12 * Operating System: Mac OS Big Sur (11.6) ### Description I'm attempting to fit a model with 15 parameters to a time...

* UltraNest version: 3.3.3, 3.4.4 * Python version: 3.6.12, 3.9.5 * Operating System: RHEL 7.9, CentOS 7.6 Thanks for creating UltraNest, I really like the improvements relative to MultiNest. I...

* UltraNest version: 3.3.3 * Python version: 3.9+ * Operating System: Mac OS Big Sur ### Description During installation Ultranest tries to import Cython. Pip installations bundle gathering dependencies and...

* UltraNest version: 3.3.3 * Python version: 3.10.2 * Operating System: CentOS 7.9.2009 ### Description I'm trying to model a dataset of a few thousand points and I wrote a...

* UltraNest version: 3.3.2 * Python version: 3.8 * Operating System: Win10 / wsl2Ubuntu2004 / RedHat Linux ### Description Hello @JohannesBuchner! I have a question for you. I am trying...

* UltraNest version: 3.3.3 * Python version: 3.9.4 * Operating System: Linux ### Description I would like to run a vectorized stepsampler as described in [issue 14](https://github.com/JohannesBuchner/UltraNest/issues/14). I can run...

* UltraNest version: 3.2.0 * Python version: 3.6 / 3.8 * Operating System: Linux / Windows subsystem for Linux ### Description Installing ultranest on my laptop (WSL enviroment) and on...