# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:et:sw=4:ts=4:sts=4
# $Id$

PortSystem          1.0
PortGroup           python 1.0
PortGroup           github 1.0

github.setup        pymc-devs pymc3 aca6086e385a5125fdc09f2df24c09baabe23436
name                py-pymc3
version             20150703
platforms           darwin
maintainers         hum openmaintainer
license             Apache-2

description         Bayesian statistical models and fitting algorithms for python
long_description    PyMC is a python module that implements Bayesian statistical models \
                    and fitting algorithms, including Markov chain Monte Carlo. \
                    Its flexibility makes it applicable to a large suite of problems as well \
                    as easily extensible. Along with core sampling functionality, \
                    PyMC includes methods for summarizing output, plotting, goodness-of-fit and \
                    convergence diagnostics.

python.versions     27 34

if {${name} ne ${subport}} {
    checksums           rmd160  7c6d5eb8b9f45aa4776201d3b0ce1af96d4cfaec \
                        sha256  53d6d1339c1ea0d5ee70228bc28cce62b302312dde9dfb337b310560f6a10684

    depends_lib-append  port:py${python.version}-numpy \
                        port:py${python.version}-scipy \
                        port:py${python.version}-matplotlib \
                        port:py${python.version}-theano \
                        port:py${python.version}-pandas \
                        port:py${python.version}-patsy

    livecheck.type      none
}