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Marius Schamschula
44 lines
1.6 KiB
Tcl
44 lines
1.6 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
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PortSystem 1.0
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PortGroup python 1.0
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name py-spglm
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version 1.1.0
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revision 0
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categories-append gis
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platforms {darwin any}
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supported_archs noarch
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license BSD
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maintainers nomaintainer
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description SParse Generalized Linear Models (spglm)
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long_description {*}${description} module is an adaptation of a portion of \
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GLM functionality from the Statsmodels package, this it \
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has been simplified and customized for the purposes of \
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serving as the base for several other PySAL modules, \
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namely SpInt and GWR. Currently, it supports the estimation \
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of Gaussian, Poisson, and Logistic regression using only \
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iteratively weighted least squares estimation (IWLS).
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homepage https://pysal.org/spreg/
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checksums rmd160 fbee3349e01b13afb1cdfb9f8dc2c9cd6be7165b \
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sha256 20519dc38be9d660a28109bb1b89d1068454e79f6413bab2e3987db5bf959327 \
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size 616651
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python.versions 310 311 312 313 314
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if {${name} ne ${subport}} {
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depends_build-append \
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port:py${python.version}-setuptools_scm
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depends_run-append \
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port:py${python.version}-scipy \
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port:py${python.version}-numpy \
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port:py${python.version}-libpysal \
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port:py${python.version}-spreg
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}
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