HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 52358,
"next": "https://ports.macports.org/api/v1/ports/?format=api&page=238",
"previous": "https://ports.macports.org/api/v1/ports/?format=api&page=236",
"results": [
{
"name": "R-micss",
"portdir": "R/R-micss",
"version": "0.2.0",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=micss",
"description": "Modified Iterative Cumulative Sum of Squares algorithm",
"long_description": "Modified Iterative Cumulative Sum of Squares algorithm",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-dplyr",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-maptree",
"portdir": "R/R-maptree",
"version": "1.4-8",
"license": "Permissive",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=maptree",
"description": "Mapping, pruning and graphing tree models",
"long_description": "Mapping, pruning and graphing tree models",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-tgp"
]
}
]
},
{
"name": "R-invgamstochvol",
"portdir": "R/R-invgamstochvol",
"version": "1.0.0",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=invgamstochvol",
"description": "Log-likelihood for an inverse Gamma stochastic volatility model",
"long_description": "Log-likelihood for an inverse Gamma stochastic volatility model",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [
"clang13",
"clang14",
"clang15",
"clang16",
"clang17",
"clang18",
"clang19",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gcc14",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R",
"gcc14"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"libgcc14",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown",
"R-spelling"
]
}
],
"depends_on": []
},
{
"name": "R-instantiate",
"portdir": "R/R-instantiate",
"version": "0.2.3",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://wlandau.github.io/instantiate",
"description": "Pre-compiled CmdStan models in R packages",
"long_description": "Pre-compiled CmdStan models in R packages",
"active": true,
"categories": [
"devel",
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-callr",
"R-CRAN-recommended",
"R-fs",
"R-rlang"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-withr",
"R-knitr",
"R-testthat",
"R-markdown",
"R-rmarkdown",
"R-cmdstanr"
]
}
],
"depends_on": []
},
{
"name": "R-ggpmisc",
"portdir": "R/R-ggpmisc",
"version": "0.6.0",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://docs.r4photobiology.info/ggpmisc",
"description": "Miscellaneous extensions to R-ggplot2",
"long_description": "Miscellaneous extensions to R-ggplot2",
"active": true,
"categories": [
"graphics",
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-tibble",
"R-dplyr",
"R-generics",
"R-ggplot2",
"R-lubridate",
"R-scales",
"R-polynom",
"R-quantreg",
"R-multcomp",
"R-ggpp",
"R-multcompView",
"R-confintr",
"R-splus2R",
"R-lmodel2",
"R-CRAN-recommended",
"R-rlang",
"R-plyr"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-broom",
"R-vdiffr",
"R-gginnards",
"R-ggrepel",
"R-broom.mixed"
]
}
],
"depends_on": []
},
{
"name": "R-gets",
"portdir": "R/R-gets",
"version": "0.38",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/gsucarrat/gets",
"description": "General-to-Specific (GETS) modelling and indicator saturation methods",
"long_description": "General-to-Specific (GETS) modelling and indicator saturation methods",
"active": true,
"categories": [
"science",
"finance",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-zoo",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-xtable",
"R-testthat",
"R-lgarch"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-ardl.nardl"
]
},
{
"type": "test",
"ports": [
"R-tidyfit"
]
}
]
},
{
"name": "R-fmesher",
"portdir": "R/R-fmesher",
"version": "0.2.0",
"license": "MPL-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://inlabru-org.github.io/fmesher",
"description": "Triangle meshes and related geometry tools",
"long_description": "Triangle meshes and related geometry tools",
"active": true,
"categories": [
"science",
"math",
"R",
"geometry"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-sp",
"R-lifecycle",
"R-tibble",
"R-withr",
"R-dplyr",
"R-sf",
"R-CRAN-recommended",
"R-Rcpp",
"R-rlang"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-gsl",
"R-ggplot2",
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-rgl",
"R-splancs",
"R-terra",
"R-tidyterra"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-FRK",
"R-disaggregation",
"R-rSPDE",
"R-sdmTMB"
]
}
]
},
{
"name": "R-dynamac",
"portdir": "R/R-dynamac",
"version": "0.1.12",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=dynamac",
"description": "Dynamic simulation and testing for single-equation ARDL models",
"long_description": "Dynamic simulation and testing for single-equation ARDL models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-lmtest",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-urca"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-bootCT"
]
},
{
"type": "test",
"ports": [
"R-ardl.nardl"
]
}
]
},
{
"name": "R-brms.mmrm",
"portdir": "R/R-brms.mmrm",
"version": "1.1.1",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://openpharma.github.io/brms.mmrm",
"description": "Bayesian MMRMs using R-brms",
"long_description": "Bayesian MMRMs using R-brms",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-zoo",
"R-dplyr",
"R-purrr",
"R-tidyr",
"R-tidyselect",
"R-ggplot2",
"R-brms",
"R-ggridges",
"R-posterior",
"R-trialr",
"R-CRAN-recommended",
"R-rlang",
"R-tibble"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-BH",
"R-Rcpp",
"R-RcppEigen",
"R-RcppParallel",
"R-StanHeaders",
"R-knitr",
"R-rstan",
"R-testthat",
"R-markdown",
"R-rmarkdown",
"R-emmeans",
"R-gt",
"R-fst",
"R-gtsummary",
"R-mmrm"
]
}
],
"depends_on": []
},
{
"name": "R-ardl.nardl",
"portdir": "R/R-ardl.nardl",
"version": "1.3.0",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=ardl.nardl",
"description": "Linear and non-linear autoregressive distributed lag models",
"long_description": "Linear and non-linear autoregressive distributed lag models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-stringr",
"R-dplyr",
"R-purrr",
"R-tidyselect",
"R-lmtest",
"R-tseries",
"R-texreg",
"R-rlist",
"R-car",
"R-nardl",
"R-gets",
"R-CRAN-recommended",
"R-plyr",
"R-sandwich"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-dynamac"
]
}
],
"depends_on": []
},
{
"name": "R-WPKDE",
"portdir": "R/R-WPKDE",
"version": "0.1",
"license": "GPL",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=WPKDE",
"description": "Weighted Piece-wise Kernel Density Estimation",
"long_description": "Weighted Piece-wise Kernel Density Estimation",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-mvtnorm"
]
}
],
"depends_on": []
},
{
"name": "R-RTMB",
"portdir": "R/R-RTMB",
"version": "1.6",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=RTMB",
"description": "R bindings for TMB",
"long_description": "Native R interface to TMB (Template Model Builder), so models can be written entirely in R rather than C++.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [
"clang13",
"clang14",
"clang15",
"clang16",
"clang17",
"clang18",
"clang19",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gcc14",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R",
"gcc14"
]
},
{
"type": "lib",
"ports": [
"R-TMB",
"R-CRAN-recommended",
"libgcc14",
"libgcc",
"R-Rcpp",
"R-RcppEigen"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-numDeriv",
"R-knitr",
"R-igraph",
"R-rmarkdown",
"R-tinytest"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-LaMa"
]
}
]
},
{
"name": "R-RFCCA",
"portdir": "R/R-RFCCA",
"version": "2.0.0",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/calakus/RFCCA",
"description": "Random Forest with Canonical Correlation Analysis",
"long_description": "Random Forest with Canonical Correlation Analysis",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [
"clang13",
"clang14",
"clang15",
"clang16",
"clang17",
"clang18",
"clang19",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gcc14",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R",
"gcc14"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"libgcc14",
"libgcc",
"R-PMA",
"R-CCA"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-MVLM",
"portdir": "R/R-MVLM",
"version": "0.1.4",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MVLM",
"description": "Multivariate linear model with analytic p-values",
"long_description": "Multivariate linear model with analytic p-values",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CompQuadForm",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-rmarkdown",
"R-knitr"
]
}
],
"depends_on": []
},
{
"name": "R-FuzzyClass",
"portdir": "R/R-FuzzyClass",
"version": "0.1.6",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/leapigufpb/FuzzyClass",
"description": "Fuzzy and non-fuzzy classifiers",
"long_description": "Fuzzy and non-fuzzy classifiers",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-purrr",
"R-Rdpack",
"R-doParallel",
"R-foreach",
"R-rootSolve",
"R-caTools",
"R-EnvStats",
"R-trapezoid",
"R-CRAN-recommended",
"R-e1071",
"R-mvtnorm"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-dplyr",
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-maxLik"
]
}
],
"depends_on": []
},
{
"name": "R-FatTailsR",
"portdir": "R/R-FatTailsR",
"version": "1.8-5",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.inmodelia.com/fattailsr-en.html",
"description": "Kiener distributions and fat tails in finance",
"long_description": "Kiener distributions and fat tails in finance",
"active": true,
"categories": [
"science",
"math",
"finance",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-timeSeries",
"R-minpack.lm"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-xts",
"R-zoo"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-fitteR"
]
}
]
},
{
"name": "R-ExprNet",
"portdir": "R/R-ExprNet",
"version": "1.0.0",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=ExprNet",
"description": "Characterizing differential expression of selected edges on a network",
"long_description": "Characterizing differential expression of selected edges on a network",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-doParallel",
"R-CRAN-recommended",
"R-here",
"R-foreach",
"R-igraph"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-readr"
]
}
],
"depends_on": []
},
{
"name": "R-Corbi",
"portdir": "R/R-Corbi",
"version": "0.6-2",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=Corbi",
"description": "Collection of rudimentary bioinformatics tools",
"long_description": "Collection of rudimentary bioinformatics tools",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRF",
"R-CRAN-recommended",
"R-igraph"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-mpmi",
"R-knitr",
"R-rmarkdown",
"R-matrixcalc",
"R-fitdistrplus",
"R-BiocParallel"
]
}
],
"depends_on": []
},
{
"name": "R-CRF",
"portdir": "R/R-CRF",
"version": "0.4-3",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/wulingyun/CRF",
"description": "Conditional Random Fields",
"long_description": "Conditional Random Fields",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown",
"R-Rglpk"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-Corbi"
]
}
]
},
{
"name": "R-CCA",
"portdir": "R/R-CCA",
"version": "1.2.2",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=CCA",
"description": "Canonical Correlation Analysis",
"long_description": "Canonical Correlation Analysis",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-fields",
"R-fda",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-RFCCA"
]
}
]
},
{
"name": "uvw2",
"portdir": "devel/uvw",
"version": "2.12.1",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/skypjack/uvw",
"description": "Header-only, event based, tiny and easy to use libuv wrapper in modern C++",
"long_description": "Header-only, event based, tiny and easy to use libuv wrapper in modern C++",
"active": true,
"categories": [
"devel"
],
"maintainers": [],
"variants": [
"debug",
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"cmake",
"pkgconfig",
"clang-20"
]
},
{
"type": "lib",
"ports": [
"libuv"
]
}
],
"depends_on": []
},
{
"name": "py311-tobler",
"portdir": "python/py-tobler",
"version": "0.14.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pysal.org/tobler/",
"description": "Spatial interpolation, Dasymetric Mapping, & Change of Support (tobler)",
"long_description": "The PySAL tobler is a library for areal interpolation and dasymetric mapping.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-build",
"clang-18",
"py311-setuptools_scm",
"py311-wheel",
"py311-setuptools",
"py311-installer"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-rasterio",
"py311-geopandas",
"py311-rasterstats",
"py311-libpysal",
"py311-statsmodels",
"py311-tqdm",
"py311-scipy",
"py311-joblib",
"py311-pandas",
"py311-numpy"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py311-pysal"
]
}
]
},
{
"name": "py310-tobler",
"portdir": "python/py-tobler",
"version": "0.14.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pysal.org/tobler/",
"description": "Spatial interpolation, Dasymetric Mapping, & Change of Support (tobler)",
"long_description": "The PySAL tobler is a library for areal interpolation and dasymetric mapping.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py310-setuptools",
"clang-18",
"py310-installer",
"py310-build",
"py310-wheel",
"py310-setuptools_scm"
]
},
{
"type": "lib",
"ports": [
"python310"
]
},
{
"type": "run",
"ports": [
"py310-rasterio",
"py310-geopandas",
"py310-rasterstats",
"py310-libpysal",
"py310-joblib",
"py310-tqdm",
"py310-statsmodels",
"py310-pandas",
"py310-scipy",
"py310-numpy"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py310-pysal"
]
}
]
},
{
"name": "py39-tobler",
"portdir": "python/py-tobler",
"version": "0.12.1",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pysal.org/tobler/",
"description": "Spatial interpolation, Dasymetric Mapping, & Change of Support (tobler)",
"long_description": "The PySAL tobler is a library for areal interpolation and dasymetric mapping.",
"active": false,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py39-setuptools",
"clang-17",
"py39-installer",
"py39-build",
"py39-wheel",
"py39-setuptools_scm"
]
},
{
"type": "lib",
"ports": [
"python39"
]
},
{
"type": "run",
"ports": [
"py39-scipy",
"py39-statsmodels",
"py39-tqdm",
"py39-rasterstats",
"py39-rasterio",
"py39-pandas",
"py39-numpy",
"py39-libpysal",
"py39-joblib",
"py39-geopandas"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py39-pysal"
]
}
]
},
{
"name": "py-tobler",
"portdir": "python/py-tobler",
"version": "0.14.0",
"license": "BSD",
"platforms": "any",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pysal.org/tobler/",
"description": "Spatial interpolation, Dasymetric Mapping, & Change of Support (tobler)",
"long_description": "The PySAL tobler is a library for areal interpolation and dasymetric mapping.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18"
]
},
{
"type": "lib",
"ports": [
"py314-tobler"
]
}
],
"depends_on": []
},
{
"name": "py311-spvcm",
"portdir": "python/py-spvcm",
"version": "0.3.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pysal/spvcm",
"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.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-build",
"clang-18",
"py311-wheel",
"py311-setuptools",
"py311-installer"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-spreg",
"py311-libpysal",
"py311-seaborn",
"py311-scipy",
"py311-pandas",
"py311-numpy"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py311-pysal"
]
}
]
},
{
"name": "py310-spvcm",
"portdir": "python/py-spvcm",
"version": "0.3.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pysal/spvcm",
"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.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py310-setuptools",
"clang-18",
"py310-installer",
"py310-build",
"py310-wheel"
]
},
{
"type": "lib",
"ports": [
"python310"
]
},
{
"type": "run",
"ports": [
"py310-spreg",
"py310-libpysal",
"py310-seaborn",
"py310-pandas",
"py310-scipy",
"py310-numpy"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py310-pysal"
]
}
]
},
{
"name": "py39-spvcm",
"portdir": "python/py-spvcm",
"version": "0.3.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pysal/spvcm",
"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.",
"active": false,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py39-setuptools",
"clang-17",
"py39-installer",
"py39-build",
"py39-wheel"
]
},
{
"type": "lib",
"ports": [
"python39"
]
},
{
"type": "run",
"ports": [
"py39-spreg",
"py39-seaborn",
"py39-scipy",
"py39-pandas",
"py39-numpy",
"py39-libpysal"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py39-pysal"
]
}
]
},
{
"name": "py-spvcm",
"portdir": "python/py-spvcm",
"version": "0.3.0",
"license": "BSD",
"platforms": "any",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pysal/spvcm",
"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.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18"
]
},
{
"type": "lib",
"ports": [
"py313-spvcm"
]
}
],
"depends_on": []
},
{
"name": "py311-spreg",
"portdir": "python/py-spreg",
"version": "1.9.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pysal.org/spreg/",
"description": "PySAL Spatial Econometrics Package (spreg)",
"long_description": "PySAL Spatial Econometrics Package (spreg), short for “spatial regression”, is a Python package to estimate simultaneous autoregressive spatial regression models. These models are useful when modeling processes where observations interact with one another.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18",
"py311-build",
"py311-installer",
"py311-setuptools",
"py311-wheel",
"py311-setuptools_scm"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-numpy",
"py311-pandas",
"py311-scikit-learn",
"py311-scipy",
"py311-libpysal"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py311-pysal"
]
},
{
"type": "run",
"ports": [
"py311-spglm",
"py311-spint",
"py311-mgwr",
"py311-splot",
"py311-spvcm"
]
}
]
},
{
"name": "py310-spreg",
"portdir": "python/py-spreg",
"version": "1.9.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pysal.org/spreg/",
"description": "PySAL Spatial Econometrics Package (spreg)",
"long_description": "PySAL Spatial Econometrics Package (spreg), short for “spatial regression”, is a Python package to estimate simultaneous autoregressive spatial regression models. These models are useful when modeling processes where observations interact with one another.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18",
"py310-setuptools",
"py310-setuptools_scm",
"py310-wheel",
"py310-build",
"py310-installer"
]
},
{
"type": "lib",
"ports": [
"python310"
]
},
{
"type": "run",
"ports": [
"py310-numpy",
"py310-scipy",
"py310-pandas",
"py310-scikit-learn",
"py310-libpysal"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py310-pysal"
]
},
{
"type": "run",
"ports": [
"py310-spglm",
"py310-spint",
"py310-mgwr",
"py310-splot",
"py310-spvcm"
]
}
]
},
{
"name": "py39-spreg",
"portdir": "python/py-spreg",
"version": "1.8.4",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pysal.org/spreg/",
"description": "PySAL Spatial Econometrics Package (spreg)",
"long_description": "PySAL Spatial Econometrics Package (spreg), short for “spatial regression”, is a Python package to estimate simultaneous autoregressive spatial regression models. These models are useful when modeling processes where observations interact with one another.",
"active": false,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18",
"py39-setuptools",
"py39-setuptools_scm",
"py39-wheel",
"py39-build",
"py39-installer"
]
},
{
"type": "lib",
"ports": [
"python39"
]
},
{
"type": "run",
"ports": [
"py39-libpysal",
"py39-numpy",
"py39-pandas",
"py39-scikit-learn",
"py39-scipy"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py39-pysal"
]
},
{
"type": "run",
"ports": [
"py39-mgwr",
"py39-spglm",
"py39-spint",
"py39-spvcm",
"py39-splot"
]
}
]
},
{
"name": "py-spreg",
"portdir": "python/py-spreg",
"version": "1.9.0",
"license": "BSD",
"platforms": "any",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pysal.org/spreg/",
"description": "PySAL Spatial Econometrics Package (spreg)",
"long_description": "PySAL Spatial Econometrics Package (spreg), short for “spatial regression”, is a Python package to estimate simultaneous autoregressive spatial regression models. These models are useful when modeling processes where observations interact with one another.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18"
]
},
{
"type": "lib",
"ports": [
"py314-spreg"
]
}
],
"depends_on": []
},
{
"name": "py311-spopt",
"portdir": "python/py-spopt",
"version": "0.7.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pysal/spopt",
"description": "Spatial Optimization (spopt)",
"long_description": "Spatial Optimization (spopt) is an open-source Python library for solving optimization problems with spatial data. Originating from the region module in PySAL (Python Spatial Analysis Library), it is under active development for the inclusion of newly proposed models and methods for regionalization, facility location, and transportation-oriented solutions.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-build",
"clang-18",
"py311-setuptools_scm",
"py311-wheel",
"py311-setuptools",
"py311-installer"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-mapclassify",
"py311-shapely",
"py311-geopandas",
"py311-pulp",
"py311-libpysal",
"py311-pointpats",
"py311-spaghetti",
"py311-tqdm",
"py311-scipy",
"py311-scikit-learn",
"py311-pandas",
"py311-numpy",
"py311-networkx"
]
},
{
"type": "test",
"ports": [
"py311-pytest",
"py311-coverage",
"py311-pytest-cov",
"py311-pytest-xdist",
"py311-matplotlib",
"py311-mapclassify",
"py311-codecov",
"py311-folium"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py311-pysal"
]
}
]
},
{
"name": "py310-spopt",
"portdir": "python/py-spopt",
"version": "0.6.1",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pysal/spopt",
"description": "Spatial Optimization (spopt)",
"long_description": "Spatial Optimization (spopt) is an open-source Python library for solving optimization problems with spatial data. Originating from the region module in PySAL (Python Spatial Analysis Library), it is under active development for the inclusion of newly proposed models and methods for regionalization, facility location, and transportation-oriented solutions.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py310-setuptools",
"clang-18",
"py310-installer",
"py310-build",
"py310-wheel",
"py310-setuptools_scm"
]
},
{
"type": "lib",
"ports": [
"python310"
]
},
{
"type": "run",
"ports": [
"py310-networkx",
"py310-geopandas",
"py310-mapclassify",
"py310-pulp",
"py310-libpysal",
"py310-pointpats",
"py310-spaghetti",
"py310-scikit-learn",
"py310-tqdm",
"py310-shapely",
"py310-pandas",
"py310-scipy",
"py310-numpy"
]
},
{
"type": "test",
"ports": [
"py310-pytest",
"py310-pytest-cov",
"py310-coverage",
"py310-matplotlib",
"py310-pytest-xdist",
"py310-codecov",
"py310-mapclassify",
"py310-folium"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py310-pysal"
]
}
]
},
{
"name": "py39-spopt",
"portdir": "python/py-spopt",
"version": "0.5.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pysal/spopt",
"description": "Spatial Optimization (spopt)",
"long_description": "Spatial Optimization (spopt) is an open-source Python library for solving optimization problems with spatial data. Originating from the region module in PySAL (Python Spatial Analysis Library), it is under active development for the inclusion of newly proposed models and methods for regionalization, facility location, and transportation-oriented solutions.",
"active": false,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py39-setuptools",
"clang-17",
"py39-installer",
"py39-build",
"py39-wheel",
"py39-setuptools_scm"
]
},
{
"type": "lib",
"ports": [
"python39"
]
},
{
"type": "run",
"ports": [
"py39-scipy",
"py39-shapely",
"py39-tqdm",
"py39-mapclassify",
"py39-pulp",
"py39-spaghetti",
"py39-scikit-learn",
"py39-pandas",
"py39-numpy",
"py39-networkx",
"py39-libpysal",
"py39-geopandas"
]
},
{
"type": "test",
"ports": [
"py39-codecov",
"py39-coverage",
"py39-matplotlib",
"py39-pytest",
"py39-pytest-cov",
"py39-pytest-xdist",
"py39-mapclassify",
"py39-folium"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py39-pysal"
]
}
]
},
{
"name": "py-spopt",
"portdir": "python/py-spopt",
"version": "0.7.0",
"license": "BSD",
"platforms": "any",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pysal/spopt",
"description": "Spatial Optimization (spopt)",
"long_description": "Spatial Optimization (spopt) is an open-source Python library for solving optimization problems with spatial data. Originating from the region module in PySAL (Python Spatial Analysis Library), it is under active development for the inclusion of newly proposed models and methods for regionalization, facility location, and transportation-oriented solutions.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18"
]
},
{
"type": "lib",
"ports": [
"py313-spopt"
]
}
],
"depends_on": []
},
{
"name": "py311-splot",
"portdir": "python/py-splot",
"version": "1.1.7",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://splot.readthedocs.io/en/latest/",
"description": "Lightweight plotting for geospatial analysis in PySAL (splot)",
"long_description": "splot connects spatial analysis done in PySAL to different popular visualization toolkits like matplotlib. The splot package allows you to create both static plots ready for publication and interactive visualizations for quick iteration and spatial data exploration.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-build",
"clang-18",
"py311-wheel",
"py311-setuptools",
"py311-installer"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-seaborn",
"py311-esda",
"py311-giddy",
"py311-libpysal",
"py311-spreg",
"py311-geopandas",
"py311-mapclassify",
"py311-matplotlib",
"py311-numpy",
"py311-packaging"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py311-pysal"
]
}
]
},
{
"name": "py310-splot",
"portdir": "python/py-splot",
"version": "1.1.7",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://splot.readthedocs.io/en/latest/",
"description": "Lightweight plotting for geospatial analysis in PySAL (splot)",
"long_description": "splot connects spatial analysis done in PySAL to different popular visualization toolkits like matplotlib. The splot package allows you to create both static plots ready for publication and interactive visualizations for quick iteration and spatial data exploration.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py310-setuptools",
"clang-18",
"py310-installer",
"py310-build",
"py310-wheel"
]
},
{
"type": "lib",
"ports": [
"python310"
]
},
{
"type": "run",
"ports": [
"py310-mapclassify",
"py310-esda",
"py310-giddy",
"py310-libpysal",
"py310-spreg",
"py310-geopandas",
"py310-seaborn",
"py310-matplotlib",
"py310-numpy",
"py310-packaging"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py310-pysal"
]
}
]
},
{
"name": "py39-splot",
"portdir": "python/py-splot",
"version": "1.1.7",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://splot.readthedocs.io/en/latest/",
"description": "Lightweight plotting for geospatial analysis in PySAL (splot)",
"long_description": "splot connects spatial analysis done in PySAL to different popular visualization toolkits like matplotlib. The splot package allows you to create both static plots ready for publication and interactive visualizations for quick iteration and spatial data exploration.",
"active": false,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py39-setuptools",
"clang-17",
"py39-installer",
"py39-build",
"py39-wheel"
]
},
{
"type": "lib",
"ports": [
"python39"
]
},
{
"type": "run",
"ports": [
"py39-seaborn",
"py39-mapclassify",
"py39-esda",
"py39-giddy",
"py39-spreg",
"py39-packaging",
"py39-numpy",
"py39-matplotlib",
"py39-libpysal",
"py39-geopandas"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py39-pysal"
]
}
]
},
{
"name": "py-splot",
"portdir": "python/py-splot",
"version": "1.1.7",
"license": "BSD",
"platforms": "any",
"epoch": 0,
"replaced_by": null,
"homepage": "https://splot.readthedocs.io/en/latest/",
"description": "Lightweight plotting for geospatial analysis in PySAL (splot)",
"long_description": "splot connects spatial analysis done in PySAL to different popular visualization toolkits like matplotlib. The splot package allows you to create both static plots ready for publication and interactive visualizations for quick iteration and spatial data exploration.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18"
]
},
{
"type": "lib",
"ports": [
"py313-splot"
]
}
],
"depends_on": []
},
{
"name": "py311-spint",
"portdir": "python/py-spint",
"version": "1.1.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pysal/spint",
"description": "Spatial Interaction Modeling Package (spint)",
"long_description": "The PySAL Spatial Interaction Modeling Package (spint) module seeks to provide a collection of tools to study spatial interaction processes and analyze spatial interaction data.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-build",
"clang-18",
"py311-wheel",
"py311-setuptools",
"py311-installer"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-spreg",
"py311-spglm",
"py311-libpysal",
"py311-scipy",
"py311-numpy"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py311-pysal"
]
}
]
},
{
"name": "py310-spint",
"portdir": "python/py-spint",
"version": "1.1.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pysal/spint",
"description": "Spatial Interaction Modeling Package (spint)",
"long_description": "The PySAL Spatial Interaction Modeling Package (spint) module seeks to provide a collection of tools to study spatial interaction processes and analyze spatial interaction data.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py310-setuptools",
"clang-18",
"py310-installer",
"py310-build",
"py310-wheel"
]
},
{
"type": "lib",
"ports": [
"python310"
]
},
{
"type": "run",
"ports": [
"py310-spreg",
"py310-spglm",
"py310-libpysal",
"py310-scipy",
"py310-numpy"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py310-pysal"
]
}
]
},
{
"name": "py39-spint",
"portdir": "python/py-spint",
"version": "1.0.7",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pysal/spint",
"description": "Spatial Interaction Modeling Package (spint)",
"long_description": "The PySAL Spatial Interaction Modeling Package (spint) module seeks to provide a collection of tools to study spatial interaction processes and analyze spatial interaction data.",
"active": false,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py39-setuptools",
"clang-17",
"py39-installer",
"py39-build",
"py39-wheel"
]
},
{
"type": "lib",
"ports": [
"python39"
]
},
{
"type": "run",
"ports": [
"py39-spreg",
"py39-spglm",
"py39-scipy",
"py39-numpy",
"py39-libpysal"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py39-pysal"
]
}
]
},
{
"name": "py-spint",
"portdir": "python/py-spint",
"version": "1.1.0",
"license": "BSD",
"platforms": "any",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pysal/spint",
"description": "Spatial Interaction Modeling Package (spint)",
"long_description": "The PySAL Spatial Interaction Modeling Package (spint) module seeks to provide a collection of tools to study spatial interaction processes and analyze spatial interaction data.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18"
]
},
{
"type": "lib",
"ports": [
"py314-spint"
]
}
],
"depends_on": []
},
{
"name": "py311-spglm",
"portdir": "python/py-spglm",
"version": "1.1.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pysal.org/spreg/",
"description": "SParse Generalized Linear Models (spglm)",
"long_description": "SParse Generalized Linear Models (spglm) module is an adaptation of a portion of GLM functionality from the Statsmodels package, this it has been simplified and customized for the purposes of serving as the base for several other PySAL modules, namely SpInt and GWR. Currently, it supports the estimation of Gaussian, Poisson, and Logistic regression using only iteratively weighted least squares estimation (IWLS).",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18",
"py311-build",
"py311-installer",
"py311-setuptools",
"py311-wheel",
"py311-setuptools_scm"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-numpy",
"py311-scipy",
"py311-libpysal",
"py311-spreg"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py311-pysal"
]
},
{
"type": "run",
"ports": [
"py311-spint",
"py311-mgwr"
]
}
]
},
{
"name": "py310-spglm",
"portdir": "python/py-spglm",
"version": "1.1.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pysal.org/spreg/",
"description": "SParse Generalized Linear Models (spglm)",
"long_description": "SParse Generalized Linear Models (spglm) module is an adaptation of a portion of GLM functionality from the Statsmodels package, this it has been simplified and customized for the purposes of serving as the base for several other PySAL modules, namely SpInt and GWR. Currently, it supports the estimation of Gaussian, Poisson, and Logistic regression using only iteratively weighted least squares estimation (IWLS).",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18",
"py310-setuptools",
"py310-setuptools_scm",
"py310-wheel",
"py310-build",
"py310-installer"
]
},
{
"type": "lib",
"ports": [
"python310"
]
},
{
"type": "run",
"ports": [
"py310-numpy",
"py310-scipy",
"py310-libpysal",
"py310-spreg"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py310-pysal"
]
},
{
"type": "run",
"ports": [
"py310-spint",
"py310-mgwr"
]
}
]
},
{
"name": "py39-spglm",
"portdir": "python/py-spglm",
"version": "1.1.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pysal.org/spreg/",
"description": "SParse Generalized Linear Models (spglm)",
"long_description": "SParse Generalized Linear Models (spglm) module is an adaptation of a portion of GLM functionality from the Statsmodels package, this it has been simplified and customized for the purposes of serving as the base for several other PySAL modules, namely SpInt and GWR. Currently, it supports the estimation of Gaussian, Poisson, and Logistic regression using only iteratively weighted least squares estimation (IWLS).",
"active": false,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-17",
"py39-setuptools",
"py39-setuptools_scm",
"py39-wheel",
"py39-build",
"py39-installer"
]
},
{
"type": "lib",
"ports": [
"python39"
]
},
{
"type": "run",
"ports": [
"py39-libpysal",
"py39-numpy",
"py39-scipy",
"py39-spreg"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py39-pysal"
]
},
{
"type": "run",
"ports": [
"py39-mgwr",
"py39-spint"
]
}
]
},
{
"name": "py-spglm",
"portdir": "python/py-spglm",
"version": "1.1.0",
"license": "BSD",
"platforms": "any",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pysal.org/spreg/",
"description": "SParse Generalized Linear Models (spglm)",
"long_description": "SParse Generalized Linear Models (spglm) module is an adaptation of a portion of GLM functionality from the Statsmodels package, this it has been simplified and customized for the purposes of serving as the base for several other PySAL modules, namely SpInt and GWR. Currently, it supports the estimation of Gaussian, Poisson, and Logistic regression using only iteratively weighted least squares estimation (IWLS).",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18"
]
},
{
"type": "lib",
"ports": [
"py314-spglm"
]
}
],
"depends_on": []
},
{
"name": "py311-spaghetti",
"portdir": "python/py-spaghetti",
"version": "1.7.6",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pysal.org/spaghetti/",
"description": "Spatial graphs: networks, topology and inference (spaghetti)",
"long_description": "The PySAL Spatial graphs: networks, topology and inference (spaghetti) package is an open-source Python library for the analysis of network-based spatial data.",
"active": true,
"categories": [
"python",
"gis"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-build",
"clang-18",
"py311-setuptools_scm",
"py311-wheel",
"py311-setuptools",
"py311-installer"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-esda",
"py311-libpysal",
"py311-rtree",
"py311-geopandas",
"py311-shapely",
"py311-scipy",
"py311-pandas",
"py311-numpy"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py311-pysal"
]
},
{
"type": "run",
"ports": [
"py311-spopt"
]
}
]
}
]
}