HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 50574,
"next": "https://ports.macports.org/api/v1/ports/?format=api&ordering=created_at&page=813",
"previous": "https://ports.macports.org/api/v1/ports/?format=api&ordering=created_at&page=811",
"results": [
{
"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-16",
"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-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-16",
"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-sdmTMB",
"R-rSPDE"
]
}
]
},
{
"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-16",
"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-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-16",
"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-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-16",
"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-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": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [
"clang10",
"clang11",
"clang12",
"clang13",
"clang14",
"clang15",
"clang16",
"clang50",
"clang60",
"clang70",
"clang80",
"clang90",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"gcc13",
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown",
"R-spelling"
]
}
],
"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-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-tgp"
]
}
]
},
{
"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-16"
]
},
{
"type": "lib",
"ports": [
"R-dplyr",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-mldr",
"portdir": "R/R-mldr",
"version": "0.4.3",
"license": "LGPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=mldr",
"description": "Exploratory data analysis and manipulation of multi-label data sets",
"long_description": "Exploratory data analysis and manipulation of multi-label data sets",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-circlize",
"R-shiny",
"R-CRAN-recommended",
"R-XML"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-nbfar",
"portdir": "R/R-nbfar",
"version": "0.1",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=nbfar",
"description": "Negative binomial factor regression models",
"long_description": "Negative binomial factor regression models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [
"clang10",
"clang11",
"clang12",
"clang13",
"clang14",
"clang15",
"clang16",
"clang50",
"clang60",
"clang70",
"clang80",
"clang90",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"gcc13",
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-RcppParallel",
"R-magrittr",
"R-glmnet",
"R-rrpack",
"R-mpath",
"R-CRAN-recommended",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-markdown",
"R-spelling"
]
}
],
"depends_on": []
},
{
"name": "R-peperr",
"portdir": "R/R-peperr",
"version": "1.5",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://fbertran.github.io/peperr",
"description": "Parallelised Estimation of Prediction Error",
"long_description": "Parallelised Estimation of Prediction Error",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-snowfall",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-penalized",
"R-locfit"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-c060"
]
}
]
},
{
"name": "R-psp",
"portdir": "R/R-psp",
"version": "1.0.2",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=psp",
"description": "Parameter Space Partitioning MCMC for global model evaluation",
"long_description": "Parameter Space Partitioning MCMC for global model evaluation",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [
"clang10",
"clang11",
"clang12",
"clang13",
"clang14",
"clang15",
"clang16",
"clang50",
"clang60",
"clang70",
"clang80",
"clang90",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"gcc13",
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-data.table",
"libgcc13",
"R-CRAN-recommended",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-tgp",
"portdir": "R/R-tgp",
"version": "2.4-23",
"license": "LGPL",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://bobby.gramacy.com/r_packages/tgp",
"description": "Bayesian Treed Gaussian Process models",
"long_description": "Bayesian Treed Gaussian Process models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [
"clang10",
"clang11",
"clang12",
"clang13",
"clang90",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gccdevel",
"gfortran",
"clang14",
"clang15",
"clang16",
"clang50",
"clang60",
"clang70",
"clang80"
],
"dependencies": [
{
"type": "build",
"ports": [
"gcc13",
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"libgcc",
"R-maptree",
"libgcc13"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-penalizedSVM",
"R-c060",
"R-laGP"
]
}
]
},
{
"name": "R-yahoofinancer",
"portdir": "R/R-yahoofinancer",
"version": "0.3.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://yahoofinancer.rsquaredacademy.com",
"description": "Fetch data from Yahoo Finance API",
"long_description": "Fetch data from Yahoo Finance API",
"active": true,
"categories": [
"science",
"www",
"finance",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-jsonlite",
"R-magrittr",
"R-stringr",
"R-purrr",
"R-lubridate",
"R-httr",
"R-CRAN-recommended",
"R-R6",
"R-curl"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-covr",
"R-httptest"
]
}
],
"depends_on": []
},
{
"name": "dynamix-chart-width-control-gui",
"portdir": "games/dynamix-chart-width-control",
"version": "1.3.4",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/AXIS5hacker/DNX-Note-Width-Changer",
"description": "A tool for changing the note width in a Dynamix Fanmade Chart",
"long_description": "A tool for changing the note width in a Dynamix Fanmade Chart. Compatible with xml charts produced with DynaMaker. This is the Qt GUI version.",
"active": true,
"categories": [
"games"
],
"maintainers": [
{
"name": "i0ntempest",
"github": "i0ntempest",
"ports_count": 226
}
],
"variants": [
"debug",
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"cmake",
"makeicns",
"clang-17",
"qt64-qttools"
]
},
{
"type": "lib",
"ports": [
"qt64-qtbase"
]
}
],
"depends_on": []
},
{
"name": "py311-fire",
"portdir": "python/py-fire",
"version": "0.7.0",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/google/python-fire",
"description": "A library for automatically generating command line interfaces.",
"long_description": "A library for automatically generating command line interfaces.",
"active": true,
"categories": [
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-wheel",
"clang-18",
"py311-build",
"py311-installer",
"py311-setuptools"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-termcolor"
]
},
{
"type": "test",
"ports": [
"py311-hypothesis",
"py311-pytest",
"py311-levenshtein"
]
}
],
"depends_on": []
},
{
"name": "py311-fugashi",
"portdir": "python/py-fugashi",
"version": "1.5.1",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/polm/fugashi",
"description": "A Cython MeCab wrapper for fast, pythonic Japanese tokenization.",
"long_description": "fugashi is a Cython wrapper for MeCab, a Japanese tokenizer and morphological analysis tool.",
"active": true,
"categories": [
"textproc",
"python"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"py311-cython",
"clang-18",
"py311-build",
"py311-installer",
"py311-setuptools",
"py311-wheel",
"py311-setuptools_scm"
]
},
{
"type": "fetch",
"ports": [
"git"
]
},
{
"type": "lib",
"ports": [
"python311",
"mecab-base"
]
},
{
"type": "test",
"ports": [
"py311-pytest",
"py311-ipadic"
]
}
],
"depends_on": []
},
{
"name": "py311-promise",
"portdir": "python/py-promise",
"version": "2.3",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/syrusakbary/promise",
"description": "Promises/A implementation for Python",
"long_description": "Promises/A implementation for Python",
"active": true,
"categories": [
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-build",
"py311-installer",
"py311-setuptools",
"py311-wheel",
"clang-18"
]
},
{
"type": "lib",
"ports": [
"python311"
]
}
],
"depends_on": [
{
"type": "run",
"ports": [
"py311-tensorflow-datasets"
]
}
]
},
{
"name": "py311-sacrebleu",
"portdir": "python/py-sacrebleu",
"version": "2.4.3",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/mjpost/sacrebleu",
"description": "Hassle-free computation of shareable, comparable, and reproducible BLEU, chrF, and TER scores",
"long_description": "SacreBLEU provides hassle-free computation of shareable, comparable, and reproducible BLEU scores. Inspired by Rico Sennrich's multi-bleu-detok.perl, it produces the official WMT scores but works with plain text. It also knows all the standard test sets and handles downloading, processing, and tokenization for you.",
"active": true,
"categories": [
"python"
],
"maintainers": [],
"variants": [
"ja"
],
"dependencies": [
{
"type": "build",
"ports": [
"py311-wheel",
"clang-18",
"py311-build",
"py311-installer",
"py311-setuptools"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-portalocker"
]
},
{
"type": "test",
"ports": [
"py311-pytest"
]
}
],
"depends_on": []
},
{
"name": "py311-sacremoses",
"portdir": "python/py-sacremoses",
"version": "0.1.1",
"license": "LGPL-2.1+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/alvations/sacremoses",
"description": "Python port of Moses tokenizer, truecaser and normalizer",
"long_description": "Python port of Moses tokenizer, truecaser and normalizer",
"active": true,
"categories": [
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18",
"py311-build",
"py311-installer",
"py311-setuptools",
"py311-wheel"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-regex",
"py311-click",
"py311-joblib",
"py311-tqdm"
]
}
],
"depends_on": []
},
{
"name": "py311-seqeval",
"portdir": "python/py-seqeval",
"version": "1.2.2",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/chakki-works/seqeval",
"description": "Testing framework for sequence labeling",
"long_description": "seqeval is a Python framework for sequence labeling evaluation. seqeval can evaluate the performance of chunking tasks such as named-entity recognition, part-of-speech tagging, semantic role labeling and so on.",
"active": true,
"categories": [
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18",
"py311-setuptools",
"py311-wheel",
"py311-setuptools_scm",
"py311-build",
"py311-installer"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-numpy",
"py311-scikit-learn"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py-seqeval"
]
}
]
},
{
"name": "py311-soundfile",
"portdir": "python/py-soundfile",
"version": "0.13.1",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/bastibe/python-soundfile",
"description": "SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",
"long_description": "SoundFile is an audio library based on libsndfile, CFFI, and NumPy. SoundFile can read and write sound files. File reading/writing is supported through libsndfile, which is a free, cross-platform, open-source (LGPL) library for reading and writing many different sampled sound file formats that runs on many platforms including Windows, OS X, and Unix. It is accessed through CFFI, which is a foreign function interface for Python calling C code. CFFI is supported for CPython 2.6+, 3.x and PyPy 2.0+. SoundFile represents audio data as NumPy arrays.",
"active": true,
"categories": [
"audio",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-installer",
"py311-setuptools",
"py311-wheel",
"clang-18",
"py311-build"
]
},
{
"type": "lib",
"ports": [
"libsndfile",
"python311",
"py311-cffi"
]
},
{
"type": "run",
"ports": [
"py311-numpy"
]
},
{
"type": "test",
"ports": [
"py311-pytest"
]
}
],
"depends_on": [
{
"type": "run",
"ports": [
"py311-librosa"
]
}
]
},
{
"name": "py311-tensorflow-metadata",
"portdir": "python/py-tensorflow-metadata",
"version": "1.14.0",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/tensorflow/metadata",
"description": "Library and standards for schema and statistics.",
"long_description": "TensorFlow Metadata provides standard representations for metadata that are useful when training machine learning models with TensorFlow.",
"active": true,
"categories": [
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-build",
"py311-installer",
"clang-17"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-protobuf3",
"py311-google-api"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py-tensorflow-metadata"
]
},
{
"type": "run",
"ports": [
"py311-tensorflow-datasets"
]
}
]
},
{
"name": "py311-conllu",
"portdir": "python/py-conllu",
"version": "6.0.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/EmilStenstrom/conllu",
"description": "Convert a CoNLL-U string into a nested python dictionary.",
"long_description": "CoNLL-U Parser parses a CoNLL-U formatted string into a nested python dictionary. CoNLL-U is often the output of natural language processing tasks.",
"active": true,
"categories": [
"textproc",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-build",
"py311-installer",
"py311-setuptools",
"py311-wheel",
"clang-18"
]
},
{
"type": "lib",
"ports": [
"python311"
]
}
],
"depends_on": []
},
{
"name": "py311-huggingface_hub",
"portdir": "python/py-huggingface_hub",
"version": "1.1.6",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/huggingface/huggingface_hub",
"description": "Client library to download and publish models and other files on the huggingface.co hub",
"long_description": "Client library to download and publish models and other files on the huggingface.co hub",
"active": true,
"categories": [
"textproc",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-build",
"py311-installer",
"py311-setuptools",
"py311-wheel",
"clang-18"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-shellingham",
"py311-filelock",
"py311-typer",
"py311-hf-xet",
"py311-httpx",
"py311-packaging",
"py311-typing_extensions",
"py311-fsspec",
"py311-yaml",
"py311-tqdm"
]
},
{
"type": "test",
"ports": [
"py311-pytest",
"py311-urllib3",
"py311-pytorch"
]
}
],
"depends_on": [
{
"type": "run",
"ports": [
"py311-datasets"
]
}
]
},
{
"name": "py311-omegaconf",
"portdir": "python/py-omegaconf",
"version": "2.3.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/omry/omegaconf",
"description": "Flexible Python configuration system. The last one you will ever need.",
"long_description": "OmegaConf is a hierarchical configuration system, with support for merging configurations from multiple sources (YAML config files, dataclasses/objects and CLI arguments) providing a consistent API regardless of how the configuration was created.",
"active": true,
"categories": [
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18",
"openjdk11",
"py311-build",
"py311-installer",
"py311-setuptools",
"py311-wheel"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "test",
"ports": [
"py311-pytest"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py-omegaconf"
]
}
]
},
{
"name": "py311-tokenizers",
"portdir": "python/py-tokenizers",
"version": "0.13.3",
"license": "Apache-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/huggingface/tokenizers",
"description": "Fast and Customizable Tokenizers",
"long_description": "Tokenizers provides an implementation of today's most used tokenizers, with a focus on performance and versatility.",
"active": true,
"categories": [
"python"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-20",
"py311-setuptools-rust",
"py311-toml",
"cargo",
"legacy-support",
"rust",
"py311-build",
"py311-installer",
"py311-setuptools",
"py311-wheel"
]
},
{
"type": "lib",
"ports": [
"python311",
"libunwind"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py-tokenizers"
]
}
]
},
{
"name": "py311-unidic",
"portdir": "python/py-unidic",
"version": "1.1.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/polm/unidic-py",
"description": "UniDic packaged for Python",
"long_description": "UniDic packaged for Python",
"active": true,
"categories": [
"textproc",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18",
"py311-build",
"py311-installer",
"py311-setuptools",
"py311-wheel"
]
},
{
"type": "lib",
"ports": [
"python311"
]
},
{
"type": "run",
"ports": [
"py311-tqdm",
"py311-wasabi",
"py311-plac"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py-unidic"
]
}
]
},
{
"name": "py311-timeout-decorator",
"portdir": "python/py-timeout-decorator",
"version": "0.5.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pnpnpn/timeout-decorator",
"description": "Timeout decorator",
"long_description": "Timeout decorator",
"active": true,
"categories": [
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-build",
"py311-installer",
"py311-setuptools",
"py311-wheel",
"clang-18"
]
},
{
"type": "lib",
"ports": [
"python311"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"py311-requests-cache"
]
}
]
},
{
"name": "py311-unidic-lite",
"portdir": "python/py-unidic-lite",
"version": "1.0.8",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/polm/unidic-lite",
"description": "A small version of UniDic packaged for Python",
"long_description": "A small version of UniDic packaged for Python",
"active": true,
"categories": [
"textproc",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-build",
"py311-installer",
"py311-setuptools",
"py311-wheel",
"clang-18"
]
},
{
"type": "lib",
"ports": [
"python311"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py-unidic-lite"
]
}
]
},
{
"name": "metabase",
"portdir": "databases/metabase",
"version": "0.57.7",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.metabase.com",
"description": "Metabase is an open-source business intelligence platform. You can use Metabase to ask questions about your data, or embed Metabase in your app to let your customers explore their data on their own.",
"long_description": "Metabase is an open-source business intelligence platform. You can use Metabase to ask questions about your data, or embed Metabase in your app to let your customers explore their data on their own.",
"active": true,
"categories": [
"databases",
"java"
],
"maintainers": [
{
"name": "slashapp",
"github": "slashapp",
"ports_count": 3
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18"
]
},
{
"type": "lib",
"ports": [
"openjdk11"
]
}
],
"depends_on": []
},
{
"name": "ecl-devel",
"portdir": "lang/ecl",
"version": "20231216",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://ecl.common-lisp.dev/",
"description": "Embeddable Common Lisp",
"long_description": "ECL (Embeddable Common Lisp) is an interpreter of the Common Lisp language as described in the X3J13 ANSI specification, featuring CLOS (Common Lisp Object System), conditions, loops, etc, plus a translator to C, which can produce standalone executables.",
"active": true,
"categories": [
"lang"
],
"maintainers": [
{
"name": "easieste",
"github": "easye",
"ports_count": 15
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-18"
]
},
{
"type": "lib",
"ports": [
"boehmgc",
"gmp",
"libatomic_ops"
]
},
{
"type": "run",
"ports": [
"clang-18"
]
}
],
"depends_on": []
},
{
"name": "R-BT",
"portdir": "R/R-BT",
"version": "0.4",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=BT",
"description": "(Adaptive) Boosting Trees algorithm",
"long_description": "(Adaptive) Boosting Trees algorithm",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-statmod",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-BlockCov",
"portdir": "R/R-BlockCov",
"version": "0.1.1",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=BlockCov",
"description": "Estimation of large block covariance matrices",
"long_description": "Estimation of large block covariance matrices",
"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-tibble",
"R-dplyr",
"R-BBmisc",
"R-Rdpack",
"R-CRAN-recommended",
"R-magrittr",
"R-rlang"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr"
]
}
],
"depends_on": []
},
{
"name": "R-CTM",
"portdir": "R/R-CTM",
"version": "0.2",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=CTM",
"description": "Text mining toolkit for Chinese documents",
"long_description": "Text mining toolkit for Chinese documents",
"active": true,
"categories": [
"textproc",
"science",
"chinese",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-plyr",
"R-jiebaR",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-ForestTools",
"portdir": "R/R-ForestTools",
"version": "1.0.2",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/andrew-plowright/ForestTools",
"description": "Tools for analyzing remote sensing forest data",
"long_description": "Tools for analyzing remote sensing forest data",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-imager",
"R-GLCMTextures",
"R-terra",
"R-CRAN-recommended",
"R-sf"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-GMCM",
"portdir": "R/R-GMCM",
"version": "1.4",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/AEBilgrau/GMCM",
"description": "Fast estimation of Gaussian mixture copula models",
"long_description": "Fast estimation of Gaussian mixture copula models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [
"clang10",
"clang11",
"clang12",
"clang13",
"clang14",
"clang15",
"clang16",
"clang50",
"clang60",
"clang70",
"clang80",
"clang90",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"gcc13",
"R"
]
},
{
"type": "lib",
"ports": [
"R-ellipse",
"R-CRAN-recommended",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-foreach",
"R-shinydashboard",
"R-rhandsontable",
"R-shinyBS",
"R-idr",
"R-jpeg",
"R-RColorBrewer",
"R-knitr",
"R-shiny",
"R-testthat",
"R-DT",
"R-rmarkdown",
"R-Hmisc"
]
}
],
"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-PRSPGx",
"portdir": "R/R-PRSPGx",
"version": "0.3.0",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=PRSPGx",
"description": "Construct PGx PRS",
"long_description": "Construct PGx PRS",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-lmtest",
"R-GIGrvg",
"R-matrixcalc",
"R-bdsmatrix",
"R-MCMCpack",
"R-glmnet",
"R-bigparallelr",
"R-bigsnpr",
"R-bigsparser",
"R-bigstatsr",
"R-SGL",
"R-gglasso",
"R-propagate",
"R-CRAN-recommended",
"R-Rfast",
"R-mvtnorm"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-SGL",
"portdir": "R/R-SGL",
"version": "1.3",
"license": "GPL",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=SGL",
"description": "Fit a regularized generalized linear model via penalized maximum likelihood",
"long_description": "Fit a regularized generalized linear model via penalized maximum likelihood",
"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": "lib",
"ports": [
"R-PRSPGx"
]
}
]
},
{
"name": "R-bannerCommenter",
"portdir": "R/R-bannerCommenter",
"version": "1.0.0",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=bannerCommenter",
"description": "Make banner comments with a consistent format",
"long_description": "Make banner comments with a consistent format",
"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-dplyr",
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-chinese.misc",
"portdir": "R/R-chinese.misc",
"version": "0.2.3",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=chinese.misc",
"description": "Miscellaneous tools for Chinese text mining and more",
"long_description": "Miscellaneous tools for Chinese text mining and more",
"active": true,
"categories": [
"textproc",
"science",
"chinese",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-slam",
"R-NLP",
"R-tm",
"R-stringi",
"R-CRAN-recommended",
"R-jiebaR",
"R-purrr"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-coga",
"portdir": "R/R-coga",
"version": "1.2.2",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/ChaoranHu/coga",
"description": "Convolution of Gamma distributions",
"long_description": "Convolution of Gamma distributions",
"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-RcppGSL",
"R-CRAN-recommended",
"gsl",
"R-cubature",
"R-Rcpp"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-R.rsp"
]
}
],
"depends_on": []
},
{
"name": "R-garma",
"portdir": "R/R-garma",
"version": "0.9.23",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=garma",
"description": "Fitting and forecasting Gegenbauer ARMA time series models",
"long_description": "Fitting and forecasting Gegenbauer ARMA time series models",
"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-signal",
"R-zoo",
"R-ggplot2",
"R-lubridate",
"R-nloptr",
"R-forecast",
"R-pracma",
"R-Rsolnp",
"R-CRAN-recommended",
"R-rlang",
"R-crayon"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-yardstick",
"R-longmemo"
]
}
],
"depends_on": []
},
{
"name": "R-gglasso",
"portdir": "R/R-gglasso",
"version": "1.5.1",
"license": "GPL-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/emeryyi/gglasso",
"description": "Group lasso penalized learning using a unified BMD algorithm",
"long_description": "Group lasso penalized learning using a unified BMD algorithm",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [
"clang10",
"clang11",
"clang12",
"clang13",
"clang14",
"clang15",
"clang16",
"clang50",
"clang60",
"clang70",
"clang80",
"clang90",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16",
"gcc13"
]
},
{
"type": "lib",
"ports": [
"libgcc",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-PRSPGx"
]
},
{
"type": "test",
"ports": [
"R-fdaSP",
"R-sparsegl"
]
}
]
},
{
"name": "R-glmmEP",
"portdir": "R/R-glmmEP",
"version": "1.0-3.1",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=glmmEP",
"description": "Generalized Linear Mixed Model Analysis via Expectation Propagation",
"long_description": "Generalized Linear Mixed Model Analysis via Expectation Propagation",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [
"clang10",
"clang11",
"clang12",
"clang13",
"clang14",
"clang15",
"clang16",
"clang50",
"clang60",
"clang70",
"clang80",
"clang90",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"gcc13",
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"libgcc",
"R-CRAN-recommended",
"R-lme4",
"R-matrixcalc"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-mlmRev"
]
}
],
"depends_on": []
},
{
"name": "R-glmmLasso",
"portdir": "R/R-glmmLasso",
"version": "1.6.3",
"license": "GPL-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=glmmLasso",
"description": "Variable selection for generalized linear mixed models by l1-penalized estimation",
"long_description": "Variable selection for generalized linear mixed models by l1-penalized estimation",
"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-minqa",
"R-Rcpp",
"R-CRAN-recommended",
"R-RcppEigen"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-gvlma",
"portdir": "R/R-gvlma",
"version": "1.0.0.3",
"license": "GPL",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=gvlma",
"description": "Global Validation of Linear Models Assumptions",
"long_description": "Global Validation of Linear Models Assumptions",
"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": []
},
{
"name": "R-idr",
"portdir": "R/R-idr",
"version": "1.3",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=idr",
"description": "Irreproducible Discovery Rate",
"long_description": "Irreproducible Discovery Rate",
"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-GMCM"
]
}
]
},
{
"name": "R-jiebaR",
"portdir": "R/R-jiebaR",
"version": "0.11",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://qinwenfeng.com/jiebaR",
"description": "Chinese text segmentation, keyword extraction and speech tagging",
"long_description": "Chinese text segmentation, keyword extraction and speech tagging",
"active": true,
"categories": [
"textproc",
"science",
"chinese",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-Rcpp",
"R-jiebaRD"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-devtools",
"R-roxygen2"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-chinese.misc",
"R-CTM"
]
},
{
"type": "test",
"ports": [
"R-jiebaRD"
]
}
]
}
]
}