Rock and Rolling awesome Python package for affine-invariant MCMC sampling
gnm is a well tested Python implementation of the affine-invariant sampler for Markov chain Monte Carlo (MCMC) that uses the Gauss-Newton-Metropolis (GNM) Algorithm. The GNM algorithm is specialized in sampling highly non-linear posterior probability distribution functions of the form exp(-||f(x)||^2/2).
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Attribution
Copyright
Copyright 2017 Mehmet Ugurbil and contributors.
License
gnm is a free software made available under the MIT LICENSE.
1 maintainer
Release files for gnm 1.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| gnm-1.0.4.tar.gz | 10.9 kB | Details |
Release files / gnm-1.0.4.tar.gz
| Download URL | gnm-1.0.4.tar.gz |
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| Size | 10.9 kB |
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