You've already forked macports-ports
mirror of
https://github.com/macports/macports-ports.git
synced 2026-07-12 18:20:25 -07:00
Renee Otten
41 lines
1.5 KiB
Tcl
41 lines
1.5 KiB
Tcl
# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4
|
|
|
|
PortSystem 1.0
|
|
PortGroup python 1.0
|
|
|
|
name py-spvcm
|
|
version 0.3.0
|
|
revision 0
|
|
|
|
categories-append gis
|
|
|
|
platforms {darwin any}
|
|
supported_archs noarch
|
|
license BSD
|
|
maintainers nomaintainer
|
|
|
|
description Multilevel spatially-correlated variance components models (spvcm)
|
|
long_description The PySAL spvcm 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. For a complete overview, consult the walkthrough.
|
|
|
|
homepage https://github.com/pysal/spvcm
|
|
|
|
checksums rmd160 310e28022dec339e1b85b618ad432ed51a12c9ac \
|
|
sha256 ce331bd5d6bcb64a07c4393093f3978763cfc8764ad0737e1866f3905e6cceae \
|
|
size 5724408
|
|
|
|
python.versions 310 311 312 313
|
|
|
|
if {${name} ne ${subport}} {
|
|
depends_run-append \
|
|
port:py${python.version}-numpy \
|
|
port:py${python.version}-scipy \
|
|
port:py${python.version}-libpysal \
|
|
port:py${python.version}-spreg \
|
|
port:py${python.version}-pandas \
|
|
port:py${python.version}-seaborn
|
|
}
|