HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 50307,
"next": "https://ports.macports.org/api/v1/ports/?format=api&ordering=-updated_at&page=664",
"previous": "https://ports.macports.org/api/v1/ports/?format=api&ordering=-updated_at&page=662",
"results": [
{
"name": "R-HH",
"portdir": "R/R-HH",
"version": "3.1-52",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=HH",
"description": "Statistical Analysis and Data Display, Heiberger and Holland",
"long_description": "Statistical Analysis and Data Display, Heiberger and Holland",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-colorspace",
"R-reshape2",
"R-RColorBrewer",
"R-gridExtra",
"R-shiny",
"R-Hmisc",
"R-Rmpfr",
"R-leaps",
"R-vcd",
"R-multcomp",
"R-CRAN-recommended",
"R-latticeExtra",
"R-abind"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-RcmdrPlugin.HH"
]
},
{
"type": "test",
"ports": [
"R-rockchalk"
]
}
]
},
{
"name": "R-HEtools",
"portdir": "R/R-HEtools",
"version": "1.0.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=HEtools",
"description": "Homomorphic Encryption Polynomials",
"long_description": "Homomorphic Encryption Polynomials",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-polynom",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-HDMT",
"portdir": "R/R-HDMT",
"version": "1.0.5",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=HDMT",
"description": "Multiple testing procedure for high-dimensional mediation hypotheses",
"long_description": "Multiple testing procedure for high-dimensional mediation hypotheses",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-fdrtool",
"R-qvalue"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-HIMA"
]
}
]
},
{
"name": "R-HDMFA",
"portdir": "R/R-HDMFA",
"version": "0.1.1",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=HDMFA",
"description": "High-Dimensional Matrix Factor Analysis",
"long_description": "High-Dimensional Matrix Factor Analysis",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-RSpectra",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-HDInterval",
"portdir": "R/R-HDInterval",
"version": "0.2.4",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=HDInterval",
"description": "Highest (posterior) density intervals",
"long_description": "Highest (posterior) density intervals",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-coda"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-MIRES",
"R-ebmstate",
"R-easybgm"
]
}
]
},
{
"name": "R-GroupBN",
"portdir": "R/R-GroupBN",
"version": "1.2.0",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GroupBN",
"description": "Infer group Bayesian networks via hierarchical feature clustering",
"long_description": "Infer group Bayesian networks via hierarchical feature clustering",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-stringr",
"R-zoo",
"R-rlist",
"R-visNetwork",
"R-bnlearn",
"R-arules",
"R-magrittr",
"R-ClustOfVar",
"R-PCAmixdata",
"R-PRROC",
"R-CRAN-recommended",
"R-MLmetrics",
"R-plyr"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-GramQuad",
"portdir": "R/R-GramQuad",
"version": "0.1.1",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://gitlab.com/iagogv/GramQuad",
"description": "Gram Quadrature",
"long_description": "Numerical integration with Gram polynomials.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-pracma",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-GlobalOptions",
"portdir": "R/R-GlobalOptions",
"version": "0.1.2",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GlobalOptions",
"description": "Generate functions to get or set global options",
"long_description": "Generate functions to get or set global options",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-markdown",
"R-GetoptLong",
"R-knitr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-bsub",
"R-circlize",
"R-ComplexHeatmap",
"R-GetoptLong",
"R-rim"
]
}
]
},
{
"name": "R-Gini",
"portdir": "R/R-Gini",
"version": "0.1.0",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=Gini",
"description": "Various equations to calculate Gini coefficients",
"long_description": "Various equations to calculate Gini coefficients",
"active": true,
"categories": [
"science",
"R",
"economics"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-GetoptLong",
"portdir": "R/R-GetoptLong",
"version": "1.0.5",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GetoptLong",
"description": "Parsing command-line arguments and simple variable interpolation",
"long_description": "Parsing command-line arguments and simple variable interpolation",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-GlobalOptions",
"R-CRAN-recommended",
"R-crayon",
"R-rjson"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-markdown",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-bsub",
"R-ComplexHeatmap",
"R-EnrichedHeatmap"
]
},
{
"type": "test",
"ports": [
"R-GlobalOptions",
"R-HilbertCurve"
]
}
]
},
{
"name": "R-GenomicFeatures",
"portdir": "R/R-GenomicFeatures",
"version": "1.56.0",
"license": "Artistic-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://bioconductor.org/packages/GenomicFeatures",
"description": "Conveniently import and query gene models",
"long_description": "Conveniently import and query gene models",
"active": true,
"categories": [
"science",
"R",
"bioconductor"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-BiocGenerics",
"R-RSQLite",
"R-Biobase",
"R-S4Vectors",
"R-IRanges",
"R-XVector",
"R-BiocIO",
"R-DBI",
"R-GenomeInfoDb",
"R-AnnotationDbi",
"R-GenomicRanges",
"R-biomaRt",
"R-rtracklayer",
"R-CRAN-recommended",
"R-Biostrings",
"R-RCurl"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-VariantAnnotation"
]
},
{
"type": "test",
"ports": [
"R-ShortRead",
"R-systemPipeR",
"R-systemPipeRdata",
"R-IRanges",
"R-BSgenomeForge"
]
}
]
},
{
"name": "R-GenomeInfoDbData",
"portdir": "R/R-GenomeInfoDbData",
"version": "1.2.12",
"license": "Artistic-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://bioconductor.org/packages/GenomeInfoDbData",
"description": "Species and taxonomy ID look-up tables used by R-GenomeInfoDb",
"long_description": "Species and taxonomy ID look-up tables used by R-GenomeInfoDb",
"active": true,
"categories": [
"science",
"R",
"bioconductor"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-GenomeInfoDb"
]
}
]
},
{
"name": "R-GeneralizedHyperbolic",
"portdir": "R/R-GeneralizedHyperbolic",
"version": "0.8-6",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GeneralizedHyperbolic",
"description": "Generalized hyperbolic distribution",
"long_description": "Generalized hyperbolic distribution",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-DistributionUtils",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-RUnit",
"R-actuar",
"R-SkewHyperbolic",
"R-VarianceGamma"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-VarianceGamma",
"R-tsdistributions",
"R-SkewHyperbolic",
"R-BayesLN",
"R-NormalLaplace"
]
},
{
"type": "test",
"ports": [
"R-DistributionUtils",
"R-fitdistrplus",
"R-fitteR"
]
}
]
},
{
"name": "R-GenOrd",
"portdir": "R/R-GenOrd",
"version": "1.4.0",
"license": "GPL",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GenOrd",
"description": "Simulation of discrete random variables with given correlation matrix and marginal distributions",
"long_description": "Simulation of discrete random variables with given correlation matrix and marginal distributions",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-mvtnorm",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-voteSim",
"R-SimMultiCorrData"
]
}
]
},
{
"name": "R-GenMarkov",
"portdir": "R/R-GenMarkov",
"version": "0.2.0",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GenMarkov",
"description": "Multivariate Markov chains",
"long_description": "Multivariate Markov chains",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-maxLik",
"R-alabama",
"R-Hmisc",
"R-CRAN-recommended",
"R-fastDummies",
"R-matrixcalc"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-GenBinomApps",
"portdir": "R/R-GenBinomApps",
"version": "1.2.1",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GenBinomApps",
"description": "Clopper–Pearson confidence interval and generalized Binomial distribution",
"long_description": "Clopper–Pearson confidence interval and generalized Binomial distribution",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-fitteR"
]
}
]
},
{
"name": "R-Gammareg",
"portdir": "R/R-Gammareg",
"version": "3.0.1",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=Gammareg",
"description": "Classic Gamma regression: joint modelling of mean and shape parameters",
"long_description": "Classic Gamma regression: joint modelling of mean and shape parameters",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-GameTheoryAllocation",
"portdir": "R/R-GameTheoryAllocation",
"version": "1.0",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GameTheoryAllocation",
"description": "Tools for calculating allocations in Game Theory",
"long_description": "Tools for calculating allocations in Game Theory",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-e1071",
"R-lpSolveAPI",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-GameTheory",
"portdir": "R/R-GameTheory",
"version": "2.7.1",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GameTheory",
"description": "Cooperative Game Theory",
"long_description": "Cooperative Game Theory",
"active": true,
"categories": [
"science",
"math",
"R",
"economics"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-ineq",
"R-kappalab",
"R-lpSolveAPI",
"R-CRAN-recommended",
"R-gtools",
"R-combinat"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-R.rsp"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-coopProductGame"
]
}
]
},
{
"name": "R-GSM",
"portdir": "R/R-GSM",
"version": "1.3.2",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GSM",
"description": "Gamma Shape Mixture",
"long_description": "Implementation of a Bayesian approach for estimating a mixture of Gamma distributions in which the mixing occurs over the shape parameter.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-gtools",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-fitteR"
]
}
]
},
{
"name": "R-GSA",
"portdir": "R/R-GSA",
"version": "1.03.3",
"license": "LGPL",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://tibshirani.su.domains/GSA",
"description": "Gene Set Analysis",
"long_description": "Gene Set Analysis",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-impute"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-samr"
]
}
]
},
{
"name": "R-GRNNs",
"portdir": "R/R-GRNNs",
"version": "0.1.0",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GRNNs",
"description": "General Regression Neural Networks package",
"long_description": "General Regression Neural Networks package",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-rdist",
"R-CRAN-recommended",
"R-scales",
"R-cvTools",
"R-vegan"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-GREMLINS",
"portdir": "R/R-GREMLINS",
"version": "0.2.1",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://GrossSBM.github.io/GREMLINS",
"description": "Generalized multipartite networks",
"long_description": "Generalized multipartite networks",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-pbmcapply",
"R-aricode",
"R-blockmodels",
"R-CRAN-recommended",
"R-R6",
"R-igraph"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-spelling"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-robber",
"R-sbm"
]
}
]
},
{
"name": "R-GPoM",
"portdir": "R/R-GPoM",
"version": "1.4",
"license": "CeCILL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GPoM",
"description": "Generalized Polynomial Modelling",
"long_description": "Generalized Polynomial Modelling",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-float",
"R-CRAN-recommended",
"R-deSolve",
"R-rgl"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-signal",
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-GPfit",
"portdir": "R/R-GPfit",
"version": "1.0-8",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GPfit",
"description": "Gaussian Processes modeling",
"long_description": "Gaussian Processes modeling",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-lhs",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-tune",
"R-rBayesianOptimization"
]
}
]
},
{
"name": "R-GPArotation",
"portdir": "R/R-GPArotation",
"version": "2024.3-1",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://optimizer.r-forge.r-project.org/GPArotation_www",
"description": "Gradient Projection Algorithm Rotation for factor analysis",
"long_description": "Gradient Projection Algorithm Rotation for factor analysis",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-esem",
"R-psych",
"R-mirtsvd",
"R-PCovR",
"R-fungible",
"R-jmv",
"R-ufs",
"R-brxx",
"R-cdmTools",
"R-mirt",
"R-mirtjml"
]
},
{
"type": "test",
"ports": [
"R-sjPlot",
"R-umx",
"R-bruceR",
"R-FinTS",
"R-psychTools",
"R-semTools"
]
}
]
},
{
"name": "R-GNAR",
"portdir": "R/R-GNAR",
"version": "1.1.3",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GNAR",
"description": "Methods for fitting network time series models",
"long_description": "Methods for fitting network time series models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-igraph",
"R-matrixcalc",
"R-viridis",
"R-ggforce",
"R-rlang",
"R-wordcloud",
"R-CRAN-recommended",
"R-ggpubr",
"R-ggplot2"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-GMMBoost",
"portdir": "R/R-GMMBoost",
"version": "1.1.5",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GMMBoost",
"description": "Likelihood-based boosting for generalized mixed models",
"long_description": "Likelihood-based boosting for generalized mixed models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-minqa",
"R-magic",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-GLMsData",
"portdir": "R/R-GLMsData",
"version": "1.4",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GLMsData",
"description": "Data sets from the book Generalized Linear Models with Examples in R",
"long_description": "Data sets from the book Generalized Linear Models with Examples in R",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-glmtoolbox"
]
}
]
},
{
"name": "R-GLMpack",
"portdir": "R/R-GLMpack",
"version": "0.1.0",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GLMpack",
"description": "Data and code to accompany Generalized Linear Models (2nd ed.)",
"long_description": "Data and code to accompany Generalized Linear Models (2nd ed.)",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-lmtest",
"R-plm",
"R-AER",
"R-effects",
"R-sandwich",
"R-censReg",
"R-pBrackets",
"R-CRAN-recommended",
"R-pscl",
"R-lme4"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-GLMMselect",
"portdir": "R/R-GLMMselect",
"version": "1.2.0",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GLMMselect",
"description": "Bayesian model selection for generalized linear mixed models",
"long_description": "Bayesian model selection for generalized linear mixed models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-GLMMadaptive",
"portdir": "R/R-GLMMadaptive",
"version": "0.9-1",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://drizopoulos.github.io/GLMMadaptive",
"description": "Generalized linear mixed models using adaptive Gaussian quadrature",
"long_description": "Generalized linear mixed models using adaptive Gaussian quadrature",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-matrixStats"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-emmeans",
"R-effects",
"R-multcomp",
"R-optimParallel",
"R-DHARMa",
"R-estimability",
"R-knitr",
"R-rmarkdown",
"R-pkgdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-JMbayes2"
]
},
{
"type": "test",
"ports": [
"R-ggeffects",
"R-insight",
"R-DHARMa",
"R-buildmer",
"R-broom.mixed"
]
}
]
},
{
"name": "R-GJRM",
"portdir": "R/R-GJRM",
"version": "0.2-6.5",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GJRM",
"description": "Generalised Joint Regression Modelling",
"long_description": "Generalised Joint Regression Modelling",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-mnormt",
"R-numDeriv",
"R-survey",
"R-matrixStats",
"R-ggplot2",
"R-psych",
"R-VGAM",
"R-copula",
"R-magic",
"R-trust",
"R-scam",
"R-VineCopula",
"R-distrEx",
"R-ismev",
"R-gamlss.dist",
"R-CRAN-recommended",
"R-Rmpfr",
"R-evd"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-sp"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-flexmsm"
]
},
{
"type": "test",
"ports": [
"R-gratia"
]
}
]
},
{
"name": "R-GGally",
"portdir": "R/R-GGally",
"version": "2.2.1",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://ggobi.github.io/ggally",
"description": "Extension to ggplot2",
"long_description": "Extension to ggplot2",
"active": true,
"categories": [
"graphics",
"science",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"pkgconfig",
"R"
]
},
{
"type": "lib",
"ports": [
"R-rlang",
"R-lifecycle",
"R-plyr",
"R-dplyr",
"R-progress",
"R-tidyr",
"openssl3",
"R-ggplot2",
"R-scales",
"R-ggstats",
"R-CRAN-recommended",
"R-RColorBrewer",
"R-gtable",
"R-magrittr"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-ICSClust",
"R-ICtest",
"R-hmer",
"R-jmv",
"R-ggmcmc",
"R-mgcViz",
"R-BGGM",
"R-NPflow",
"R-corrViz",
"R-finalfit",
"R-gsynth"
]
},
{
"type": "test",
"ports": [
"R-SHELF",
"R-vsp",
"R-robustbase",
"R-descriptio",
"R-BAS",
"R-miWQS",
"R-fic",
"R-cubble",
"R-bruceR",
"R-tsfeatures",
"R-ufs",
"R-WRS2",
"R-survstan"
]
}
]
},
{
"name": "R-GGRidge",
"portdir": "R/R-GGRidge",
"version": "1.1.0",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GGRidge",
"description": "Graphical Group Ridge",
"long_description": "Graphical Group Ridge",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-gRbase",
"R-CVglasso",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-GDAtools",
"portdir": "R/R-GDAtools",
"version": "2.1",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://nicolas-robette.github.io/GDAtools",
"description": "Geometric Data Analysis",
"long_description": "Geometric Data Analysis",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-descriptio",
"R-rlang",
"R-CRAN-recommended",
"R-FactoMineR",
"R-ggplot2",
"R-ggrepel"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-TraMineR",
"R-rmdformats",
"R-factoextra",
"R-knitr",
"R-shiny",
"R-miniUI",
"R-rmarkdown",
"R-R.rsp",
"R-rclipboard",
"R-ade4",
"R-sf"
]
}
],
"depends_on": []
},
{
"name": "R-GDAdata",
"portdir": "R/R-GDAdata",
"version": "0.93",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GDAdata",
"description": "Datasets for the Graphical Data Analysis with R",
"long_description": "Datasets for the Graphical Data Analysis with R",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-ggplot2"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-probout"
]
}
]
},
{
"name": "R-GB2",
"portdir": "R/R-GB2",
"version": "2.1.1",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GB2",
"description": "Generalized Beta distribution (IInd kind): properties, likelihood, estimation",
"long_description": "Generalized Beta distribution (IInd kind): properties, likelihood, estimation",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-survey",
"R-hypergeo",
"R-cubature",
"R-CRAN-recommended",
"R-laeken",
"R-numDeriv"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-sdPrior"
]
}
]
},
{
"name": "dnsperf",
"portdir": "net/dnsperf",
"version": "2.14.0",
"license": "Apache-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.dns-oarc.net/tools/dnsperf",
"description": "DNS Performance Testing Tools",
"long_description": "dnsperf and resperf are free tools developed by Nominum/Akamai (2006-2018) and DNS-OARC (since 2019) that make it simple to gather accurate latency and throughput metrics for Domain Name Service (DNS). These tools are easy-to-use and simulate typical Internet, so network operators can benchmark their naming and addressing infrastructure and plan for upgrades.",
"active": true,
"categories": [
"sysutils",
"net"
],
"maintainers": [
{
"name": "judaew",
"github": "judaew",
"ports_count": 640
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"autoconf",
"automake",
"libtool",
"pkgconfig"
]
},
{
"type": "lib",
"ports": [
"ldns",
"nghttp2",
"libck",
"openssl"
]
}
],
"depends_on": []
},
{
"name": "lastfm-desktop",
"portdir": "audio/lastfm-desktop",
"version": "2.1.39",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.last.fm",
"description": "Official Last.fm desktop application suite",
"long_description": "Official Last.fm desktop application suite",
"active": true,
"categories": [
"sysutils",
"audio"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [
"debug"
],
"dependencies": [
{
"type": "build",
"ports": [
"gettext",
"pkgconfig",
"coreutils",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"sqlite3",
"fftw-3",
"qt4-mac",
"boost176",
"ffmpeg",
"zlib",
"liblastfm",
"libsamplerate"
]
}
],
"depends_on": []
},
{
"name": "pev",
"portdir": "devel/pev",
"version": "0.80",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": "readpe",
"homepage": "http://pev.sourceforge.net/",
"description": "Obsolete port, replaced by readpe",
"long_description": "This port has been replaced by readpe.",
"active": true,
"categories": [
"devel"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16"
]
},
{
"type": "extract",
"ports": [
null
]
},
{
"type": "fetch",
"ports": [
null
]
},
{
"type": "lib",
"ports": [
null
]
},
{
"type": "patch",
"ports": [
null
]
},
{
"type": "run",
"ports": [
null
]
},
{
"type": "test",
"ports": [
null
]
}
],
"depends_on": []
},
{
"name": "R-GaussianHMM1d",
"portdir": "R/R-GaussianHMM1d",
"version": "1.1.1",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=GaussianHMM1d",
"description": "Inference, goodness-of-fit and forecast for univariate Gaussian hidden Markov models",
"long_description": "Inference, goodness-of-fit and forecast for univariate Gaussian hidden Markov models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-doParallel",
"R-foreach",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-FuzzyResampling",
"portdir": "R/R-FuzzyResampling",
"version": "0.6.3",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/mroman-ibs/FuzzyResampling",
"description": "Resampling methods for triangular and trapezoidal fuzzy numbers",
"long_description": "Resampling methods for triangular and trapezoidal fuzzy numbers",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-FuzzyNumbers.Ext.2",
"portdir": "R/R-FuzzyNumbers.Ext.2",
"version": "3.2",
"license": "LGPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=FuzzyNumbers.Ext.2",
"description": "Tools to deal with fuzzy numbers",
"long_description": "Tools to deal with fuzzy numbers",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-FuzzyNumbers",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-relliptical"
]
}
]
},
{
"name": "R-FuzzyNumbers",
"portdir": "R/R-FuzzyNumbers",
"version": "0.4-7",
"license": "LGPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/gagolews/FuzzyNumbers",
"description": "Tools to deal with fuzzy numbers",
"long_description": "Tools to deal with fuzzy numbers",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-digest",
"R-knitr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-FuzzySTs",
"R-FuzzyLP",
"R-FuzzyNumbers.Ext.2",
"R-FuzzySimRes"
]
}
]
},
{
"name": "R-FuzzyM",
"portdir": "R/R-FuzzyM",
"version": "0.1.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=FuzzyM",
"description": "Fuzzy cognitive maps operations",
"long_description": "Fuzzy cognitive maps operations",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-FuzzyLP",
"portdir": "R/R-FuzzyLP",
"version": "0.1-7",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=FuzzyLP",
"description": "Fuzzy Linear Programming",
"long_description": "Provides methods to solve fuzzy linear programming problems with fuzzy constraints.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-ROI",
"R-ROI.plugin.glpk",
"R-CRAN-recommended",
"R-FuzzyNumbers"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-R.rsp"
]
}
],
"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": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"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-FracKrigingR",
"portdir": "R/R-FracKrigingR",
"version": "1.0.0",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=FracKrigingR",
"description": "Spatial multivariate data modelling",
"long_description": "Spatial multivariate data modelling",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-psych",
"R-clusterGeneration"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-sp",
"R-knitr",
"R-rmarkdown",
"R-raster",
"R-gstat"
]
}
],
"depends_on": []
},
{
"name": "R-FrF2.catlg128",
"portdir": "R/R-FrF2.catlg128",
"version": "1.2-3",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=FrF2.catlg128 https://prof.bht-berlin.de/groemping/DoE",
"description": "Catalogues of resolution IV 128 run 2-level fractional factorials",
"long_description": "Catalogues of resolution IV 128 run 2-level fractional factorials",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-FrF2",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-RcmdrPlugin.DoE"
]
}
]
}
]
}