FitModel supports nested sampling with UltraNest, which has several advantages over MultiNest. Installation of UltraNest is more straightforward since it is only Python code. It also runs without any problem on macOS Big Sur.
UltraNest is used with the run_ultranest method, which uses the same likelihood function and supports the same priors as run_multinest. The run_multinest and run_mcmc methods remain also available.
FitModel
supports nested sampling withUltraNest
, which has several advantages over MultiNest. Installation ofUltraNest
is more straightforward since it is only Python code. It also runs without any problem on macOS Big Sur.UltraNest
is used with therun_ultranest
method, which uses the same likelihood function and supports the same priors asrun_multinest
. Therun_multinest
andrun_mcmc
methods remain also available.Updated
requirements.txt
andMakefile
.