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Gibbs sampling for spatially-correlated variance-components

copied from cf-staging / spvcm

Installers

Info: This package contains files in non-standard labels.
  • noarch v0.3.0

conda install

To install this package run one of the following:
conda install conda-forge::spvcm
conda install conda-forge/label/cf202003::spvcm

Description

This is a package to estimate spatially-correlated variance components models/varying intercept models. In addition to a general toolkit to conduct Gibbs sampling in Python, the package also provides an interface to PyMC3 and CODA


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