# -*- 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     39 310 311 312

if {${name} ne ${subport}} {
    depends_build-append \
                    port:py${python.version}-setuptools

    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
}