HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 51973,
"next": "https://ports.macports.org/api/v1/ports/?format=api&ordering=updated_at&page=229",
"previous": "https://ports.macports.org/api/v1/ports/?format=api&ordering=updated_at&page=227",
"results": [
{
"name": "R-MTPS",
"portdir": "R/R-MTPS",
"version": "1.0.2",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MTPS",
"description": "Multi-task prediction using stacking algorithms",
"long_description": "Multi-task prediction using stacking algorithms",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-e1071",
"R-glmnet"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-reshape2",
"R-ggplot2",
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-joinet"
]
}
]
},
{
"name": "R-MTS",
"portdir": "R/R-MTS",
"version": "1.2.1",
"license": "Artistic-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MTS",
"description": "All-purpose toolkit for analyzing multivariate time series (MTS) and estimating multivariate volatility models",
"long_description": "All-purpose toolkit for analyzing multivariate time series (MTS) and estimating multivariate volatility models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-mvtnorm",
"R-fBasics",
"R-Rcpp",
"R-CRAN-recommended",
"R-fGarch",
"R-RcppEigen"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-VARDetect"
]
},
{
"type": "test",
"ports": [
"R-fable",
"R-tsBSS"
]
}
]
},
{
"name": "R-MTest",
"portdir": "R/R-MTest",
"version": "1.0.2",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MTest",
"description": "Procedure for multicollinearity testing using bootstrap",
"long_description": "Procedure for multicollinearity testing using bootstrap",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-plotly",
"R-ggplot2",
"R-CRAN-recommended",
"R-car"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"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-MXM",
"portdir": "R/R-MXM",
"version": "1.5.5",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MXM",
"description": "Feature selection and Bayesian networks",
"long_description": "Feature selection and Bayesian networks",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-ordinal",
"R-dplyr",
"R-knitr",
"R-lme4",
"R-Hmisc",
"R-doParallel",
"R-foreach",
"R-quantreg",
"R-visNetwork",
"R-geepack",
"R-coxme",
"R-relations",
"R-energy",
"R-bigmemory",
"R-CRAN-recommended",
"R-Rfast",
"R-Rfast2"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-markdown",
"R-R.rsp"
]
}
],
"depends_on": []
},
{
"name": "R-ManlyMix",
"portdir": "R/R-ManlyMix",
"version": "0.1.15.1",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=ManlyMix",
"description": "Manly mixture modeling and model-based clustering",
"long_description": "Manly mixture modeling and model-based clustering",
"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"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-vscc"
]
}
]
},
{
"name": "R-MassSpecWavelet",
"portdir": "R/R-MassSpecWavelet",
"version": "1.70.0",
"license": "LGPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/zeehio/MassSpecWavelet",
"description": "Peak detection for mass spectrometry data using wavelet-based algorithms",
"long_description": "Peak detection for mass spectrometry data using wavelet-based algorithms",
"active": true,
"categories": [
"science",
"R",
"bioconductor"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-signal",
"R-knitr",
"R-rmarkdown",
"R-bench",
"R-BiocStyle",
"R-waveslim",
"R-RUnit"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-downlit"
]
}
]
},
{
"name": "R-MatchIt",
"portdir": "R/R-MatchIt",
"version": "4.6.0",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://kosukeimai.github.io/MatchIt",
"description": "Non-parametric preprocessing for parametric causal inference",
"long_description": "Non-parametric preprocessing for parametric causal inference",
"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": [
"gcc14",
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"libgcc",
"libgcc14",
"R-Rcpp",
"R-RcppProgress",
"R-backports",
"R-rlang",
"R-chk",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-dbarts",
"R-highs",
"R-cobalt",
"R-CBPS",
"R-Matching",
"R-optmatch",
"R-quickmatch",
"R-RcppProgress",
"R-sandwich",
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-randomForest",
"R-gbm",
"R-glmnet",
"R-rgenoud",
"R-marginaleffects",
"R-Rglpk"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-CBPS",
"R-netdiffuseR",
"R-psborrow"
]
},
{
"type": "test",
"ports": [
"R-cobalt",
"R-table1"
]
}
]
},
{
"name": "R-Matching",
"portdir": "R/R-Matching",
"version": "4.10-15",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/JasjeetSekhon/Matching",
"description": "Multivariate and propensity score matching with balance optimization",
"long_description": "Multivariate and propensity score matching with balance optimization",
"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-testthat",
"R-rgenoud"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-DeclareDesign",
"R-MatchIt",
"R-RcmdrPlugin.EZR",
"R-tableone"
]
}
]
},
{
"name": "R-Matrix",
"portdir": "R/R-Matrix",
"version": "1.7-1",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=Matrix https://Matrix.R-forge.R-project.org",
"description": "Sparse and dense matrix classes and methods",
"long_description": "Sparse and dense matrix classes and methods. Recommended package.",
"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": [
"libgcc",
"R-lattice",
"libgcc14"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-SparseM",
"R-sfsmisc",
"R-graph",
"R-MASS"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-mgcv",
"R-survival"
]
},
{
"type": "test",
"ports": [
"R-cluster"
]
}
]
},
{
"name": "R-MatrixCorrelation",
"portdir": "R/R-MatrixCorrelation",
"version": "0.10.0",
"license": "GPL-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MatrixCorrelation",
"description": "Matrix Correlation coefficients",
"long_description": "Computation and visualization of matrix correlation coefficients.",
"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-progress",
"R-pracma",
"R-plotrix",
"libgcc",
"R-CRAN-recommended",
"libgcc14",
"R-RSpectra",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-MatrixExtra",
"portdir": "R/R-MatrixExtra",
"version": "0.1.15",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/david-cortes/MatrixExtra",
"description": "Methods and operators for the sparse matrix classes",
"long_description": "Extends sparse matrix and vector classes from the Matrix package.",
"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-float",
"R-CRAN-recommended",
"libgcc14",
"libgcc",
"R-Rcpp",
"R-RhpcBLASctl"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-data.table",
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-did2s",
"R-rsparse"
]
},
{
"type": "test",
"ports": [
"R-RcppBlaze",
"R-readsparse"
]
}
]
},
{
"name": "R-MatrixGenerics",
"portdir": "R/R-MatrixGenerics",
"version": "1.16.0",
"license": "Artistic-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://bioconductor.org/packages/MatrixGenerics",
"description": "S4 generic summary statistic functions that operate on matrix-like objects",
"long_description": "S4 generic summary statistic functions that operate on matrix-like objects",
"active": true,
"categories": [
"science",
"math",
"R",
"bioconductor"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-matrixStats"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-SummarizedExperiment",
"R-SparseArray",
"R-testthat",
"R-DelayedArray",
"R-DelayedMatrixStats",
"R-sparseMatrixStats"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-DelayedArray",
"R-DelayedMatrixStats",
"R-RaggedExperiment",
"R-SparseArray",
"R-SummarizedExperiment",
"R-VariantAnnotation",
"R-genefilter",
"R-glmGamPoi",
"R-sparseMatrixStats"
]
}
]
},
{
"name": "R-MatrixModels",
"portdir": "R/R-MatrixModels",
"version": "0.5-3",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "http://Matrix.R-forge.R-project.org",
"description": "Modelling with sparse and dense matrices",
"long_description": "Modelling with sparse and dense matrices using modular prediction and response module classes.",
"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"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-quantreg",
"R-twang",
"R-BayesFactor",
"R-BayesESS",
"R-pre"
]
},
{
"type": "test",
"ports": [
"R-car",
"R-abn"
]
}
]
},
{
"name": "R-MaximinInfer",
"portdir": "R/R-MaximinInfer",
"version": "2.0.0",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MaximinInfer",
"description": "Inference for maximin effects in high-dimensional settings",
"long_description": "Inference for maximin effects in high-dimensional settings",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-CVXR",
"R-CRAN-recommended",
"R-glmnet",
"R-SIHR",
"R-intervals"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-Mcomp",
"portdir": "R/R-Mcomp",
"version": "2.8",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "http://pkg.robjhyndman.com/Mcomp",
"description": "Data from the M-competitions",
"long_description": "Data from the M-competitions",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-ggplot2",
"R-forecast",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-tsfeatures"
]
}
]
},
{
"name": "R-MeSHDbi",
"portdir": "R/R-MeSHDbi",
"version": "1.40.0",
"license": "Artistic-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://bioconductor.org/packages/MeSHDbi",
"description": "DBI to construct MeSH-related package from sqlite file",
"long_description": "DBI to construct MeSH-related package from sqlite file",
"active": true,
"categories": [
"science",
"R",
"bioconductor"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-Biobase",
"R-AnnotationDbi",
"R-CRAN-recommended",
"R-RSQLite"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-MedianaDesigner",
"portdir": "R/R-MedianaDesigner",
"version": "0.13",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/medianasoft/MedianaDesigner",
"description": "Power and sample size calculations for clinical trials",
"long_description": "Power and sample size calculations for clinical trials",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-RcppNumerical",
"R-mvtnorm",
"R-shiny",
"R-lme4",
"R-doParallel",
"R-foreach",
"R-shinydashboard",
"R-rootSolve",
"R-lmerTest",
"R-officer",
"R-pbkrtest",
"R-shinyMatrix",
"R-flextable",
"R-devEMF",
"R-CRAN-recommended",
"R-Rcpp",
"R-RcppEigen"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-doRNG"
]
}
],
"depends_on": []
},
{
"name": "R-MendelianRandomization",
"portdir": "R/R-MendelianRandomization",
"version": "0.10.0",
"license": "(GPL-2 or GPL-3)",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MendelianRandomization",
"description": "Several methods for performing Mendelian randomization analyses with summarized data",
"long_description": "Several methods for performing Mendelian randomization analyses with summarized data",
"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-numDeriv",
"R-ggplot2",
"R-knitr",
"R-rmarkdown",
"R-rjson",
"R-quantreg",
"libgcc",
"R-plotly",
"R-glmnet",
"R-iterpc",
"R-CRAN-recommended",
"libgcc14",
"R-robustbase",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-bnmr2"
]
}
]
},
{
"name": "R-MetaUtility",
"portdir": "R/R-MetaUtility",
"version": "2.1.2",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MetaUtility",
"description": "Utility functions for conducting and interpreting meta-analyses",
"long_description": "Utility functions for conducting and interpreting meta-analyses",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-dplyr",
"R-purrr",
"R-tidyr",
"R-rlang",
"R-metafor",
"R-CRAN-recommended",
"R-metadat",
"R-stringr"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-EValue"
]
}
]
},
{
"name": "R-MetricGraph",
"portdir": "R/R-MetricGraph",
"version": "1.4.0",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://davidbolin.github.io/MetricGraph",
"description": "Random fields on metric graphs",
"long_description": "Facilitates creation and manipulation of metric graphs, such as street or river networks. Further facilitates operations and visualizations of data on metric graphs and the creation of a large class of random fields and stochastic partial differential equations on such spaces. These random fields can be used for simulation, prediction and inference.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-Rcpp",
"R-RcppEigen",
"R-magrittr",
"R-sp",
"R-lifecycle",
"R-zoo",
"R-dplyr",
"R-tidyr",
"R-R6",
"R-igraph",
"R-broom",
"R-rSPDE",
"R-ggnewscale",
"R-sf",
"R-CRAN-recommended",
"R-ggplot2",
"R-RANN"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-Metrics",
"portdir": "R/R-Metrics",
"version": "0.1.4",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=Metrics",
"description": "Evaluation metrics for machine learning",
"long_description": "Evaluation metrics for machine learning",
"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-testthat"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-ARGOS",
"R-audrex",
"R-dblr",
"R-iml"
]
},
{
"type": "test",
"ports": [
"R-cv"
]
}
]
},
{
"name": "R-MetricsWeighted",
"portdir": "R/R-MetricsWeighted",
"version": "1.0.3",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/mayer79/MetricsWeighted",
"description": "Weighted metrics, scoring functions and performance measures for machine learning",
"long_description": "Weighted metrics, scoring functions and performance measures for machine learning",
"active": true,
"categories": [
"science",
"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-testthat",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-tidyrules"
]
}
]
},
{
"name": "R-Mhorseshoe",
"portdir": "R/R-Mhorseshoe",
"version": "0.1.3",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=Mhorseshoe",
"description": "Approximate algorithm for horseshoe prior",
"long_description": "R-Mhorseshoe provides an approximate algorithm for the horseshoe estimator used in Bayesian linear models.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-Rcpp"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-horseshoe",
"R-ggplot2",
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-MixGHD",
"portdir": "R/R-MixGHD",
"version": "2.3.7",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MixGHD",
"description": "Model-based clustering, classification and discriminant analysis",
"long_description": "Model-based clustering, classification and discriminant analysis using the mixture of generalized hyperbolic distributions.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-numDeriv",
"R-Bessel",
"R-ghyp",
"R-e1071",
"R-CRAN-recommended",
"R-mixture",
"R-mvtnorm"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-vscc"
]
}
]
},
{
"name": "R-MixSIAR",
"portdir": "R/R-MixSIAR",
"version": "3.1.12",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://brianstock.github.io/MixSIAR",
"description": "Bayesian mixing models in R",
"long_description": "Bayesian mixing models in R",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-reshape",
"R-loo",
"R-reshape2",
"R-RColorBrewer",
"R-ggplot2",
"R-bayesplot",
"R-R2jags",
"R-MCMCpack",
"R-splancs",
"R-ggmcmc",
"R-CRAN-recommended",
"jags",
"R-coda"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-MixSemiRob",
"portdir": "R/R-MixSemiRob",
"version": "1.1.0",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MixSemiRob",
"description": "Mixture models: parametric, semiparametric and robust",
"long_description": "Mixture models: parametric, semiparametric and robust",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-quadprog",
"R-pracma",
"R-robustbase",
"R-mixtools",
"R-GoFKernel",
"R-Rlab",
"R-CRAN-recommended",
"R-mvtnorm",
"R-ucminf"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-MixSim",
"portdir": "R/R-MixSim",
"version": "1.1-8",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MixSim",
"description": "Simulating data to study performance of clustering algorithms",
"long_description": "Simulating data to study performance of clustering algorithms",
"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": [
"libgcc",
"R-CRAN-recommended",
"libgcc14"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-mclust"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-SAGMM"
]
}
]
},
{
"name": "R-MixedPoisson",
"portdir": "R/R-MixedPoisson",
"version": "2.0",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MixedPoisson",
"description": "Mixed Poisson models",
"long_description": "The estimation of the parameters in mixed Poisson models.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-Rmpfr",
"R-gaussquad",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-ModelMetrics",
"portdir": "R/R-ModelMetrics",
"version": "1.2.2.2",
"license": "(GPL-2 or GPL-3)",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=ModelMetrics",
"description": "Rapid calculation of model metrics",
"long_description": "Collection of metrics for evaluating models written in C++ using Rcpp. Popular metrics include area under the curve, log loss, root mean square error etc.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-data.table",
"R-CRAN-recommended",
"R-Rcpp"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-caret"
]
},
{
"type": "test",
"ports": [
"R-bigstatsr"
]
}
]
},
{
"name": "R-MomTrunc",
"portdir": "R/R-MomTrunc",
"version": "6.0",
"license": "(GPL-2 or GPL-3)",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MomTrunc",
"description": "Moments of folded and doubly truncated multivariate distributions",
"long_description": "Moments of folded and doubly truncated multivariate distributions",
"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-mvtnorm",
"R-hypergeo",
"R-tlrmvnmvt",
"R-CRAN-recommended",
"libgcc14",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-tmvtnorm"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-RcppCensSpatial",
"R-skewlmm"
]
}
]
},
{
"name": "R-MonteCarloSEM",
"portdir": "R/R-MonteCarloSEM",
"version": "0.0.8",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MonteCarloSEM",
"description": "Monte Carlo data simulation package",
"long_description": "Monte Carlo data simulation package",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-lavaan",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-Morpho",
"portdir": "R/R-Morpho",
"version": "2.12",
"license": "GPL-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/zarquon42b/Morpho",
"description": "Calculations and visualisations related to geometric morphometrics",
"long_description": "Calculations and visualisations related to geometric morphometrics",
"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-jsonlite",
"R-testthat",
"R-doParallel",
"R-foreach",
"R-car",
"R-bezier",
"R-rgl",
"libgcc",
"R-shapes",
"R-colorRamps",
"R-sf",
"R-CRAN-recommended",
"libgcc14",
"R-Rvcg",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-gyro"
]
},
{
"type": "test",
"ports": [
"R-Rvcg"
]
}
]
},
{
"name": "R-MplusAutomation",
"portdir": "R/R-MplusAutomation",
"version": "1.1.1",
"license": "LGPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://michaelhallquist.github.io/MplusAutomation",
"description": "Facilitate large-scale latent variable analyses in Mplus",
"long_description": "Facilitate large-scale latent variable analyses in Mplus",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-xtable",
"R-coda",
"R-plyr",
"R-digest",
"R-checkmate",
"R-ggplot2",
"R-texreg",
"R-gsubfn",
"R-pander",
"R-fastDummies",
"R-CRAN-recommended",
"R-data.table",
"R-rlang"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-relimp",
"R-rhdf5"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-mlVAR",
"R-tidySEM"
]
},
{
"type": "test",
"ports": [
"R-semPlot",
"R-thurstonianIRT"
]
}
]
},
{
"name": "R-MsCoreUtils",
"portdir": "R/R-MsCoreUtils",
"version": "1.16.1",
"license": "Artistic-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/RforMassSpectrometry/MsCoreUtils",
"description": "Core utils for mass spectrometry data",
"long_description": "Core utils for mass spectrometry data",
"active": true,
"categories": [
"science",
"R",
"bioconductor"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-S4Vectors",
"R-Rcpp",
"R-CRAN-recommended",
"R-clue"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-MuMIn",
"portdir": "R/R-MuMIn",
"version": "1.48.4",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MuMIn",
"description": "Tools for performing model selection and model averaging",
"long_description": "Tools for performing model selection and model averaging",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-insight"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-gamm4",
"R-quantreg",
"R-brglm",
"R-geepack",
"R-MCMCglmm",
"R-gee",
"R-pscl",
"R-coxme",
"R-aods3",
"R-glmmTMB",
"R-glmmML",
"R-cplm",
"R-maxlike",
"R-unmarked",
"R-logistf",
"R-aod",
"R-spatialreg",
"R-gamlss",
"R-splm",
"R-RMark",
"R-caper",
"R-geeM",
"R-ordinal",
"R-performance",
"R-lme4",
"R-betareg"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-umx",
"R-cvms",
"R-glmm.hp",
"R-lefko3",
"R-piecewiseSEM",
"R-ConfZIC"
]
},
{
"type": "test",
"ports": [
"R-texreg",
"R-bbmle",
"R-bruceR",
"R-insight",
"R-emmeans",
"R-geeM"
]
}
]
},
{
"name": "R-MultiAssayExperiment",
"portdir": "R/R-MultiAssayExperiment",
"version": "1.30.3",
"license": "Artistic-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://waldronlab.io/MultiAssayExperiment",
"description": "Software for the integration of multi-omics experiments",
"long_description": "Software for the integration of multi-omics experiments in Bioconductor.",
"active": true,
"categories": [
"science",
"R",
"bioconductor"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-Biobase",
"R-S4Vectors",
"R-IRanges",
"R-DelayedArray",
"R-GenomicRanges",
"R-SummarizedExperiment",
"R-BiocBaseUtils",
"R-CRAN-recommended",
"R-tidyr",
"R-BiocGenerics"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-R.rsp",
"R-BiocStyle",
"R-HDF5Array",
"R-RaggedExperiment",
"R-survminer",
"R-UpSetR"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-vsclust"
]
},
{
"type": "test",
"ports": [
"R-RaggedExperiment"
]
}
]
},
{
"name": "R-MultiLCIRT",
"portdir": "R/R-MultiLCIRT",
"version": "2.11",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MultiLCIRT",
"description": "Multidimensional Latent Class Item Response Theory models",
"long_description": "Multidimensional Latent Class Item Response Theory models",
"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": [
"libgcc14",
"libgcc",
"R-limSolve",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-LMest"
]
}
]
},
{
"name": "R-MultivariateRandomForest",
"portdir": "R/R-MultivariateRandomForest",
"version": "1.1.5",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MultivariateRandomForest",
"description": "Models multivariate cases using random forests",
"long_description": "Models multivariate cases using random forests",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-Rcpp",
"R-bootstrap",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-joinet"
]
}
]
},
{
"name": "R-NBtsVarSel",
"portdir": "R/R-NBtsVarSel",
"version": "1.0",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=NBtsVarSel",
"description": "Variable selection in a specific regression time series of counts",
"long_description": "Variable selection in a specific regression time series of counts",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-mpath",
"R-CRAN-recommended",
"R-ggplot2",
"R-glmnet"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-markdown",
"R-formatR"
]
}
],
"depends_on": []
},
{
"name": "R-NCA",
"portdir": "R/R-NCA",
"version": "4.0.1",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.erim.eur.nl/necessary-condition-analysis",
"description": "Necessary Condition Analysis",
"long_description": "Necessary Condition Analysis",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-iterators",
"R-doParallel",
"R-foreach",
"R-quantreg",
"R-gplots",
"R-lpSolve",
"R-plotly",
"R-CRAN-recommended",
"R-truncnorm",
"R-ggplot2"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-NHANES",
"portdir": "R/R-NHANES",
"version": "2.1.0",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=NHANES",
"description": "Data from the US National Health and Nutrition Examination study",
"long_description": "Data from the US National Health and Nutrition Examination study",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-mosaic"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-mosaic",
"R-mosaicCore"
]
}
]
},
{
"name": "R-NHMSAR",
"portdir": "R/R-NHMSAR",
"version": "1.19",
"license": "GPL",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=NHMSAR",
"description": "Non-homogeneous Markov switching autoregressive models",
"long_description": "Non-homogeneous Markov switching autoregressive models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-lars",
"R-ncvreg",
"R-ucminf",
"R-CRAN-recommended",
"R-glasso"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-NISTnls",
"portdir": "R/R-NISTnls",
"version": "0.9-13",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=NISTnls",
"description": "Non-linear least squares examples from NIST",
"long_description": "Datasets for testing non-linear regression routines.",
"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"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-nlraa"
]
}
]
},
{
"name": "R-NISTunits",
"portdir": "R/R-NISTunits",
"version": "1.0.1",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=NISTunits",
"description": "Fundamental physical constants and unit conversions from NIST",
"long_description": "Fundamental physical constants and unit conversions from NIST",
"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-celestial"
]
},
{
"type": "test",
"ports": [
"R-units"
]
}
]
},
{
"name": "R-NLP",
"portdir": "R/R-NLP",
"version": "0.3-2",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=NLP",
"description": "Natural Language Processing infrastructure",
"long_description": "Basic classes and methods for natural language processing.",
"active": true,
"categories": [
"textproc",
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-spacyr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-RcmdrPlugin.temis",
"R-chinese.misc",
"R-tm"
]
},
{
"type": "test",
"ports": [
"R-stm"
]
}
]
},
{
"name": "R-NLRoot",
"portdir": "R/R-NLRoot",
"version": "1.0",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=NLRoot",
"description": "Search for the root of an equation",
"long_description": "Search for the root of an equation",
"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"
]
}
],
"depends_on": []
},
{
"name": "R-NMA",
"portdir": "R/R-NMA",
"version": "1.4-3",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.ism.ac.jp/~noma/file/software/NMA.r",
"description": "Network meta-analysis based on multivariate meta-analysis models",
"long_description": "Network meta-analysis based on multivariate meta-analysis models",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-forestplot",
"R-metafor",
"R-stringr",
"R-CRAN-recommended",
"R-ggplot2"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-NMF",
"portdir": "R/R-NMF",
"version": "0.28",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://renozao.github.io/NMF",
"description": "Algorithms and framework for nonnegative matrix factorization (NMF)",
"long_description": "Algorithms and framework for nonnegative matrix factorization (NMF)",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-stringr",
"R-reshape2",
"R-RColorBrewer",
"R-ggplot2",
"R-registry",
"R-doParallel",
"R-foreach",
"R-BiocManager",
"R-gridBase",
"R-rngtools",
"R-Biobase",
"R-CRAN-recommended",
"R-colorspace",
"R-digest"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-xtable",
"R-RUnit",
"R-knitr",
"R-devtools",
"R-corpcor",
"R-fastICA",
"R-bigmemory",
"R-synchronicity",
"R-doMPI",
"R-mail"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-diceR"
]
}
]
},
{
"name": "R-NMI",
"portdir": "R/R-NMI",
"version": "2.0",
"license": "GPL-2",
"platforms": "any",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=NMI",
"description": "Normalized Mutual Information of community structure in network",
"long_description": "Normalized Mutual Information of community structure in network",
"active": true,
"categories": [
"science",
"R",
"economics"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
}
]
}