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Gibbs sampling for spatially-correlated variance-components 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. WWW: https://github.com/pysal/spvcm
4 lines
154 B
Plaintext
4 lines
154 B
Plaintext
TIMESTAMP = 1609598753
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SHA256 (spvcm-0.3.0.tar.gz) = ce331bd5d6bcb64a07c4393093f3978763cfc8764ad0737e1866f3905e6cceae
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SIZE (spvcm-0.3.0.tar.gz) = 5724408
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