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A tool which, by modelling the sampled galaxies as ellipsoids with intrinsic semi-axes drawn from a multivariate log-normal distribution, uses Bayesian inference to generate posteriors for parameters describing the underlying distribution of shapes and sizes of galaxies given pro
pip install logelin
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
logelin publishes 1 wheel and 1 source archive for version 0.2.2. Wheel platform tags: any.
Declared Python classifiers: 3.11.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .