math/py-spvcm 0.3.0_2 DragonFly

Fit spatial multilevel models and diagnose convergence

System: DragonFly
Repository: DPorts
Maintainer: [email protected] (as in FreeBSD)
License: BSD3CLAUSE
Categories: math, python
Package size: 4722.4 KiB, 12283.2 KiB installed

Description

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.

Install

Binary package:

pkg install py311-spvcm

From DPorts:

cd /usr/dports/math/py-spvcm && make install clean

Dependencies

Run dependencies 7

No port depends on this one.

Configuration

No options to configure.

Service scripts: none

Message after installing

===>   NOTICE:

This port is deprecated; you may wish to reconsider installing it:

Upstream repository has been archived on Jul 9, 2024.

It is scheduled to be removed on or after 2025-04-30.