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Author:
Francisca Kemper, Sundar Srinivasan, Jonathan Marshall, Oscar Morata, Alfonso Trejo, Sascha Zeegers, Lapo Fanciullo, Thavisha Dharmawardena
Summary:
Bayesian fitting of heterogeneous astronomical data, with a flexible likelihood that stays robust when the model is misspecified.
Latest version:
1.0.0b2
Required dependencies:
arviz
|
astropy
|
celerite2
|
corner
|
dynesty
|
emcee
|
h5netcdf
|
matplotlib
|
numpy
|
pyphot
|
requests
|
scipy
|
spectres
|
tqdm
Optional dependencies:
ampere-astro
|
blackjax
|
build
|
check-wheel-contents
|
coverage
|
dust-extinction
|
equinox
|
ipykernel
|
jax
|
nautilus-sampler
|
nbconvert
|
nbsphinx
|
numpyro
|
pyrefly
|
pyro-ppl
|
pytest
|
pytest-benchmark
|
pytest-cov
|
pytest-xdist
|
robusta-hmf
|
ruff
|
sbi
|
sphinx
|
torch
|
twine
|
ultranest
|
zeus-mcmc
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