HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 52415,
"next": "https://ports.macports.org/api/v1/ports/?format=api&ordering=-created_at&page=297",
"previous": "https://ports.macports.org/api/v1/ports/?format=api&ordering=-created_at&page=295",
"results": [
{
"name": "R-BiocFileCache",
"portdir": "R/R-BiocFileCache",
"version": "2.12.0",
"license": "Artistic-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://bioconductor.org/packages/BiocFileCache",
"description": "Manage files across sessions",
"long_description": "Manage files across sessions",
"active": true,
"categories": [
"science",
"R",
"bioconductor"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-dplyr",
"R-dbplyr",
"R-httr",
"R-filelock",
"R-RSQLite",
"R-CRAN-recommended",
"R-curl",
"R-DBI"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-BiocStyle",
"R-rtracklayer"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-AnnotationHub",
"R-BiocCheck",
"R-BiocPkgTools",
"R-ExperimentHub",
"R-biomaRt"
]
}
]
},
{
"name": "py311-thrift",
"portdir": "python/py-thrift",
"version": "0.20.0",
"license": "Apache-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://thrift.apache.org/",
"description": "Python bindings to Thrift",
"long_description": "Thrift is a software framework for scalable cross-language services development. It combines a software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, Smalltalk, and OCaml.",
"active": true,
"categories": [
"python"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"py311-installer",
"py311-wheel",
"clang-18",
"py311-build",
"py311-setuptools"
]
},
{
"type": "lib",
"ports": [
"python311",
"thrift"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py-thrift"
]
}
]
},
{
"name": "R-usemodels",
"portdir": "R/R-usemodels",
"version": "0.2.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://usemodels.tidymodels.org",
"description": "Make code snippets to fit models using the tidymodels framework",
"long_description": "Make code snippets to fit models using the tidymodels framework",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-clipr",
"R-dplyr",
"R-purrr",
"R-tidyr",
"R-recipes",
"R-tune",
"R-CRAN-recommended",
"R-cli",
"R-rlang"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-covr",
"R-spelling",
"R-modeldata"
]
}
],
"depends_on": []
},
{
"name": "R-stan4bart",
"portdir": "R/R-stan4bart",
"version": "0.0-10",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=stan4bart",
"description": "Uses Stan sampler and math library to semi-parametrically fit linear and multi-level models with additive Bayesian Additive Regression Tree (BART) components",
"long_description": "Uses Stan sampler and math library to semi-parametrically fit linear and multi-level models with additive Bayesian Additive Regression Tree (BART) components",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-RcppEigen",
"R-RcppParallel",
"R-dbarts",
"R-CRAN-recommended",
"R-BH",
"R-Rcpp"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-lme4"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-bartCause"
]
}
]
},
{
"name": "R-scalreg",
"portdir": "R/R-scalreg",
"version": "1.0.1",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=scalreg",
"description": "Scaled sparse linear regression",
"long_description": "Scaled sparse linear regression",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-lars",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-BigQuic",
"R-hdi",
"R-plsmmLasso"
]
}
]
},
{
"name": "R-optimParallel",
"portdir": "R/R-optimParallel",
"version": "1.0-2",
"license": "(GPL-3 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=optimParallel",
"description": "Parallel version of the L-BFGS-B optimization method",
"long_description": "Parallel version of the L-BFGS-B optimization method",
"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-ggplot2",
"R-testthat",
"R-roxygen2",
"R-microbenchmark",
"R-R.rsp",
"R-lbfgsb3c",
"R-spam",
"R-numDeriv"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-eicm",
"R-GeneralizedWendland",
"R-bvhar",
"R-skewlmm",
"R-varycoef"
]
},
{
"type": "test",
"ports": [
"R-GLMMadaptive",
"R-rSPDE"
]
}
]
},
{
"name": "R-nfer",
"portdir": "R/R-nfer",
"version": "1.1.3",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://nfer.io",
"description": "Event stream abstraction using interval logic",
"long_description": "Event stream abstraction using interval logic",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-hdi",
"portdir": "R/R-hdi",
"version": "0.1-9",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=hdi",
"description": "High-Dimensional Inference",
"long_description": "High-Dimensional Inference",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-scalreg",
"R-linprog",
"R-CRAN-recommended",
"R-glmnet"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-HIMA",
"R-plsmmLasso"
]
},
{
"type": "test",
"ports": [
"R-BayesVarSel",
"R-bst",
"R-stabs"
]
}
]
},
{
"name": "R-grafzahl",
"portdir": "R/R-grafzahl",
"version": "0.0.11",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/chainsawriot/grafzahl",
"description": "Supervised machine learning for textual data using transformers and Quanteda",
"long_description": "Supervised machine learning for textual data using transformers and Quanteda",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-lime",
"R-quanteda",
"R-CRAN-recommended",
"R-jsonlite",
"R-reticulate"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-withr",
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-quanteda.textmodels"
]
}
],
"depends_on": []
},
{
"name": "R-glmm.hp",
"portdir": "R/R-glmm.hp",
"version": "0.1-7",
"license": "GPL",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/laijiangshan/glmm.hp",
"description": "Hierarchical partitioning of marginal R2 for generalized mixed-effect models",
"long_description": "Hierarchical partitioning of marginal R2 for generalized mixed-effect models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-vegan",
"R-MuMIn",
"R-ggplot2",
"R-CRAN-recommended",
"R-lme4"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-gimme",
"portdir": "R/R-gimme",
"version": "0.7-18",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://tarheels.live/gimme/tutorials",
"description": "Group Iterative Multiple Model Estimation",
"long_description": "Group Iterative Multiple Model Estimation",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-nloptr",
"R-imputeTS",
"R-tseries",
"R-qgraph",
"R-data.tree",
"R-MIIVsem",
"R-CRAN-recommended",
"R-igraph",
"R-lavaan"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-gimmeTools"
]
}
]
},
{
"name": "R-ggstats",
"portdir": "R/R-ggstats",
"version": "0.7.0",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://larmarange.github.io/ggstats",
"description": "Extension to ggplot2 for plotting stats",
"long_description": "Extension to ggplot2 for plotting stats",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-lifecycle",
"R-stringr",
"R-dplyr",
"R-purrr",
"R-tidyr",
"R-ggplot2",
"R-scales",
"R-forcats",
"R-patchwork",
"R-CRAN-recommended",
"R-cli",
"R-rlang",
"R-magrittr"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-gtsummary",
"R-glue",
"R-parameters",
"R-reshape",
"R-survey",
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-broom",
"R-betareg",
"R-vdiffr",
"R-emmeans",
"R-labelled",
"R-spelling",
"R-pscl",
"R-broom.helpers"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-GGally",
"R-ggplot2.utils"
]
},
{
"type": "test",
"ports": [
"R-gtsummary"
]
}
]
},
{
"name": "R-gamselBayes",
"portdir": "R/R-gamselBayes",
"version": "2.0-1",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=gamselBayes",
"description": "Bayesian generalized additive model selection",
"long_description": "Bayesian generalized additive model selection",
"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",
"libgcc",
"libgcc14",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-dbarts",
"portdir": "R/R-dbarts",
"version": "0.9-30",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/vdorie/dbarts",
"description": "Discrete Bayesian Additive Regression Trees sampler",
"long_description": "Discrete Bayesian Additive Regression Trees sampler",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-voi",
"R-bartCause",
"R-countSTAR",
"R-stan4bart"
]
},
{
"type": "test",
"ports": [
"R-MatchIt",
"R-tidyAML",
"R-tmle",
"R-mcmcsae"
]
}
]
},
{
"name": "R-brxx",
"portdir": "R/R-brxx",
"version": "0.1.2",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=brxx",
"description": "Bayesian test reliability estimation",
"long_description": "Bayesian test reliability estimation",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-blme",
"R-GPArotation",
"R-MCMCpack",
"R-rstan",
"R-CRAN-recommended",
"R-TeachingDemos",
"R-blavaan"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-benchmarkmeData",
"portdir": "R/R-benchmarkmeData",
"version": "1.0.4",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=benchmarkmeData",
"description": "Crowd-sourced benchmarks from running the benchmarkme package",
"long_description": "Crowd-sourced benchmarks from running the benchmarkme package",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-tibble",
"R-dplyr"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-DT",
"R-covr",
"R-benchmarkme"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-benchmarkme"
]
}
]
},
{
"name": "R-benchmarkme",
"portdir": "R/R-benchmarkme",
"version": "1.0.8",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=benchmarkme",
"description": "Crowd-sourced system benchmarks",
"long_description": "Crowd-sourced system benchmarks",
"active": true,
"categories": [
"devel",
"sysutils",
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-dplyr",
"R-httr",
"R-doParallel",
"R-foreach",
"R-benchmarkmeData",
"R-CRAN-recommended",
"R-stringr",
"R-tibble"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-RcppZiggurat",
"R-ggplot2",
"R-knitr",
"R-testthat",
"R-DT",
"R-rmarkdown",
"R-covr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-disk.frame",
"R-oeli"
]
},
{
"type": "test",
"ports": [
"R-benchmarkmeData"
]
}
]
},
{
"name": "R-bcgam",
"portdir": "R/R-bcgam",
"version": "1.0",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=bcgam",
"description": "Bayesian constrained generalised linear models",
"long_description": "Bayesian constrained generalised linear models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-igraph",
"R-nimble",
"R-CRAN-recommended",
"R-coda"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-bayesmix",
"portdir": "R/R-bayesmix",
"version": "0.7-6",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://statmath.wu.ac.at/~gruen/BayesMix",
"description": "Bayesian Mixture models with JAGS",
"long_description": "Bayesian Mixture models with JAGS",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-coda",
"R-rjags",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-bayesanova",
"portdir": "R/R-bayesanova",
"version": "1.6",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=bayesanova",
"description": "Bayesian inference in the Analysis of Variance via Markov Chain Monte Carlo in gaussian mixture models",
"long_description": "Bayesian inference in the Analysis of Variance via Markov Chain Monte Carlo in gaussian mixture models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-MCMCpack",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-coda"
]
}
],
"depends_on": []
},
{
"name": "R-bartCause",
"portdir": "R/R-bartCause",
"version": "1.0-9",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/vdorie/bartCause",
"description": "Causal inference using Bayesian Additive Regression Trees",
"long_description": "Causal inference using Bayesian Additive Regression Trees",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-dbarts",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-lme4",
"R-stan4bart",
"R-tmle"
]
}
],
"depends_on": []
},
{
"name": "R-baizer",
"portdir": "R/R-baizer",
"version": "0.8.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://william-swl.github.io/baizer",
"description": "Useful functions for data processing",
"long_description": "Useful functions for data processing",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-rlang",
"R-vctrs",
"R-stringr",
"R-tibble",
"R-dplyr",
"R-purrr",
"R-readxl",
"R-rematch2",
"R-tidyr",
"R-diffobj",
"R-rmarkdown",
"R-readr",
"R-openxlsx",
"R-seriation",
"R-CRAN-recommended",
"R-curl",
"R-magrittr"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-withr",
"R-testthat",
"R-roxygen2",
"R-covr"
]
}
],
"depends_on": []
},
{
"name": "R-bain",
"portdir": "R/R-bain",
"version": "0.2.11",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://informative-hypotheses.sites.uu.nl/software/bain",
"description": "Bayes Factors for Informative hypotheses",
"long_description": "Bayes Factors for Informative hypotheses",
"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-lavaan",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-BANAM",
"R-BFpack",
"R-gorica",
"R-tidySEM"
]
},
{
"type": "test",
"ports": [
"R-restriktor"
]
}
]
},
{
"name": "R-bWGR",
"portdir": "R/R-bWGR",
"version": "2.2.13",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=bWGR",
"description": "Bayesian whole-genome regression",
"long_description": "Bayesian whole-genome regression",
"active": true,
"categories": [
"science",
"biology",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-Rcpp",
"R-RcppEigen",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-aTSA",
"portdir": "R/R-aTSA",
"version": "3.1.2.1",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=aTSA",
"description": "Alternative Time Series Analysis",
"long_description": "Alternative Time Series Analysis",
"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-WaveletML"
]
}
]
},
{
"name": "R-TeachingDemos",
"portdir": "R/R-TeachingDemos",
"version": "2.13",
"license": "Artistic-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=TeachingDemos",
"description": "Demonstrations for teaching and learning",
"long_description": "Demonstrations for teaching and 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-logspline",
"R-rgl",
"R-tcltk2",
"R-tkrplot",
"R-sf",
"R-manipulate",
"R-png",
"R-ggplot2",
"R-spData"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-Ecfun",
"R-brr",
"R-brxx"
]
},
{
"type": "test",
"ports": [
"R-tourr"
]
}
]
},
{
"name": "R-Pareto",
"portdir": "R/R-Pareto",
"version": "2.4.5",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/ulrichriegel/Pareto",
"description": "Pareto, Piecewise Pareto and Generalized Pareto distributions",
"long_description": "Pareto, Piecewise Pareto and Generalized Pareto distributions",
"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-rmarkdown",
"R-lpSolve",
"R-knitr"
]
}
],
"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-MIIVsem",
"portdir": "R/R-MIIVsem",
"version": "0.5.8",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MIIVsem",
"description": "Model Implied Instrumental Variable (MIIV) estimation of Structural Equation Models",
"long_description": "Model Implied Instrumental Variable (MIIV) estimation of Structural Equation Models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-car",
"R-numDeriv",
"R-CRAN-recommended",
"R-lavaan"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-gimme"
]
}
]
},
{
"name": "R-LaF",
"portdir": "R/R-LaF",
"version": "0.8.6",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/djvanderlaan/LaF",
"description": "Fast access to Large ASCII Files",
"long_description": "Fast access to Large ASCII Files",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-Rcpp",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-yaml"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-disk.frame"
]
}
]
},
{
"name": "R-DDL",
"portdir": "R/R-DDL",
"version": "1.0.2",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=DDL",
"description": "Doubly Debiased Lasso",
"long_description": "Statistical inference for the regression coefficients in high-dimensional linear models with hidden confounders.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-glmnet",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-BayesVarSel",
"portdir": "R/R-BayesVarSel",
"version": "2.2.5",
"license": "GPL-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=BayesVarSel",
"description": "Bayes factors, model choice and variable selection in linear models",
"long_description": "Bayes factors and posterior probabilities in Linear models, aimed at providing a formal Bayesian answer to testing and variable selection problems.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"gsl",
"R-mvtnorm"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-faraway",
"R-hdi"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-WALS"
]
}
]
},
{
"name": "R-BFpack",
"portdir": "R/R-BFpack",
"version": "1.4.0",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/jomulder/BFpack",
"description": "Flexible Bayes factor testing of scientific expectations",
"long_description": "Flexible Bayes factor testing of scientific expectations",
"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-sandwich",
"R-lme4",
"R-extraDistr",
"R-pracma",
"R-bain",
"R-Bergm",
"R-ergm",
"R-metaBMA",
"R-QRM",
"R-CRAN-recommended",
"libgcc14",
"libgcc",
"R-coda",
"R-mvtnorm"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-lmtest",
"R-polycor",
"R-pscl",
"R-metafor"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-BANAM",
"R-BGGM"
]
}
]
},
{
"name": "llvm-cx",
"portdir": "lang/llvm-cx",
"version": "22.1.1",
"license": "NCSA",
"platforms": "{darwin >= 18}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://codeweavers.com/",
"description": "CodeWeavers custom compiler for -mwine32 targets 22.1.1.",
"long_description": "CodeWeavers custom compiler for -mwine32 targets 22.1.1.",
"active": true,
"categories": [
"lang"
],
"maintainers": [],
"variants": [
"debug"
],
"dependencies": [
{
"type": "build",
"ports": [
"cmake-bootstrap",
"clang-18"
]
}
],
"depends_on": [
{
"type": "build",
"ports": [
"game-porting-toolkit"
]
}
]
},
{
"name": "py311-opencv4-devel",
"portdir": "graphics/opencv4-devel",
"version": "4.9.0",
"license": "BSD",
"platforms": "{darwin >= 11}",
"epoch": 1,
"replaced_by": null,
"homepage": "https://opencv.org",
"description": "Open Source Computer Vision Library",
"long_description": "OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.",
"active": true,
"categories": [
"graphics",
"science"
],
"maintainers": [
{
"name": "mascguy",
"github": "mascguy",
"ports_count": 359
}
],
"variants": [
"debug",
"ffmpeg6",
"ffmpeg7",
"ffmpeg8"
],
"dependencies": [
{
"type": "build",
"ports": [
"cctools",
"cmake",
"pkgconfig",
"clang-20"
]
},
{
"type": "lib",
"ports": [
"openexr",
"openjpeg",
"tiff",
"webp",
"opencv4-devel",
"zlib",
"python311",
"py311-numpy",
"imath",
"ffmpeg8",
"libquirc",
"ade",
"libjpeg-turbo",
"libpng"
]
}
],
"depends_on": []
},
{
"name": "py311-opencv4",
"portdir": "graphics/opencv4",
"version": "4.9.0",
"license": "BSD",
"platforms": "{darwin >= 10}",
"epoch": 1,
"replaced_by": null,
"homepage": "https://opencv.org",
"description": "Open Source Computer Vision Library",
"long_description": "OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.",
"active": true,
"categories": [
"graphics",
"science"
],
"maintainers": [
{
"name": "mascguy",
"github": "mascguy",
"ports_count": 359
}
],
"variants": [
"debug",
"ffmpeg6",
"ffmpeg7",
"ffmpeg8"
],
"dependencies": [
{
"type": "build",
"ports": [
"cctools",
"cmake",
"pkgconfig",
"clang-20"
]
},
{
"type": "lib",
"ports": [
"opencv4",
"openexr",
"openjpeg",
"tiff",
"webp",
"zlib",
"python311",
"py311-numpy",
"imath",
"ffmpeg8",
"libquirc",
"ade",
"libjpeg-turbo",
"libpng"
]
}
],
"depends_on": []
},
{
"name": "py311-opencv3-devel",
"portdir": "graphics/opencv3-devel",
"version": "3.4.20",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://opencv.org",
"description": "Open Source Computer Vision Library",
"long_description": "OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.",
"active": true,
"categories": [
"graphics",
"science"
],
"maintainers": [
{
"name": "mascguy",
"github": "mascguy",
"ports_count": 359
}
],
"variants": [
"debug",
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"cmake",
"pkgconfig",
"clang-18"
]
},
{
"type": "lib",
"ports": [
"libpng",
"ilmbase",
"openjpeg",
"tiff",
"webp",
"bzip2",
"python311",
"py311-numpy",
"openexr2",
"ffmpeg4",
"opencv3-devel",
"zlib",
"libjpeg-turbo"
]
}
],
"depends_on": []
},
{
"name": "py311-opencv3",
"portdir": "graphics/opencv3",
"version": "3.4.20",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://opencv.org",
"description": "Open Source Computer Vision Library",
"long_description": "OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.",
"active": true,
"categories": [
"graphics",
"science"
],
"maintainers": [
{
"name": "mascguy",
"github": "mascguy",
"ports_count": 359
}
],
"variants": [
"debug",
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"cmake",
"pkgconfig",
"clang-18"
]
},
{
"type": "lib",
"ports": [
"libpng",
"opencv3",
"ilmbase",
"openjpeg",
"tiff",
"bzip2",
"python311",
"py311-numpy",
"openexr2",
"ffmpeg4",
"webp",
"zlib",
"libjpeg-turbo"
]
}
],
"depends_on": []
},
{
"name": "clone-org",
"portdir": "sysutils/clone-org",
"version": "1.5.2",
"license": "MIT",
"platforms": "darwin freebsd linux",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/caarlos0/clone-org",
"description": "A simple command line tool to clone all repos of a GitHub organization",
"long_description": "A simple command line tool to clone all repos of a GitHub organization",
"active": true,
"categories": [
"devel",
"sysutils"
],
"maintainers": [
{
"name": "herby.gillot",
"github": "herbygillot",
"ports_count": 1074
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"go",
"clang-18"
]
}
],
"depends_on": []
},
{
"name": "shadowsocks-libev",
"portdir": "net/shadowsocks-libev",
"version": "3.3.6",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/shadowsocks/shadowsocks-libev",
"description": "Lightweight secured SOCKS5 proxy",
"long_description": "Shadowsocks-libev is written in pure C and depends on libev. It's designed to be a lightweight implementation of shadowsocks protocol, in order to keep the resource usage as low as possible.",
"active": true,
"categories": [
"net"
],
"maintainers": [],
"variants": [
"debug",
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"cmake",
"clang-18",
"xmlto",
"asciidoc"
]
},
{
"type": "fetch",
"ports": [
"git"
]
},
{
"type": "lib",
"ports": [
"mbedtls3",
"c-ares",
"pcre2",
"libsodium",
"libev"
]
}
],
"depends_on": []
},
{
"name": "tflint",
"portdir": "sysutils/tflint",
"version": "0.61.0",
"license": "MIT",
"platforms": "darwin freebsd linux",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/terraform-linters/tflint",
"description": "A Pluggable Terraform Linter",
"long_description": "tflint is a framework and each feature is provided by plugins",
"active": true,
"categories": [
"sysutils"
],
"maintainers": [
{
"name": "herby.gillot",
"github": "herbygillot",
"ports_count": 1074
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"go",
"clang-18"
]
}
],
"depends_on": []
},
{
"name": "R-trelliscopejs",
"portdir": "R/R-trelliscopejs",
"version": "0.2.6",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=trelliscopejs",
"description": "Create interactive trelliscope displays",
"long_description": "Create interactive trelliscope displays",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-jsonlite",
"R-rlang",
"R-digest",
"R-dplyr",
"R-htmltools",
"R-progress",
"R-purrr",
"R-tidyr",
"R-ggplot2",
"R-knitr",
"R-htmlwidgets",
"R-webshot",
"R-DistributionUtils",
"R-autocogs",
"R-CRAN-recommended",
"R-base64enc",
"R-gtable"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-shiny",
"R-testthat",
"R-rmarkdown",
"R-covr",
"R-plotly",
"R-gapminder",
"R-housingData"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-timetk"
]
}
]
},
{
"name": "R-simplermarkdown",
"portdir": "R/R-simplermarkdown",
"version": "0.0.6",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=simplermarkdown",
"description": "Simple engine for generating reports using R",
"long_description": "Simple engine for generating reports using R",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-rjson",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-RcppSpdlog",
"R-digest",
"R-reclin2",
"R-tidyCpp",
"R-tiledb"
]
}
]
},
{
"name": "R-oskeyring",
"portdir": "R/R-oskeyring",
"version": "0.1.6",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://r-lib.github.io/oskeyring",
"description": "Raw system credential store access from R",
"long_description": "Raw system credential store access from R",
"active": true,
"categories": [
"sysutils",
"science",
"security",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-withr",
"R-testthat",
"R-covr",
"R-askpass"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-gitcreds"
]
}
]
},
{
"name": "R-longmemo",
"portdir": "R/R-longmemo",
"version": "1.1-3",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=longmemo",
"description": "Statistics for long-memory processes",
"long_description": "Statistics for long-memory processes",
"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-fracdiff",
"R-sfsmisc"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-LongMemoryTS",
"R-memochange"
]
},
{
"type": "test",
"ports": [
"R-AER",
"R-fracdiff",
"R-garma"
]
}
]
},
{
"name": "R-housingData",
"portdir": "R/R-housingData",
"version": "0.3.0",
"license": "public-domain",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/hafen/housingData",
"description": "U.S. housing data from 2008 to 2016",
"long_description": "U.S. housing data from 2008 to 2016",
"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": "test",
"ports": [
"R-trelliscopejs"
]
}
]
},
{
"name": "R-faraway",
"portdir": "R/R-faraway",
"version": "1.0.8",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=faraway",
"description": "Functions and datasets for books by Julian Faraway",
"long_description": "Functions and datasets for books by Julian Faraway",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-lme4",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-leaps"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-mcen"
]
},
{
"type": "test",
"ports": [
"R-BayesVarSel",
"R-aglm",
"R-BAS",
"R-fastR2",
"R-nonnest2",
"R-assessor"
]
}
]
},
{
"name": "R-autocogs",
"portdir": "R/R-autocogs",
"version": "0.1.4",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=autocogs",
"description": "Automatic Cognostic Summaries",
"long_description": "Automatic Cognostic Summaries",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-checkmate",
"R-dplyr",
"R-progress",
"R-ggplot2",
"R-broom",
"R-hexbin",
"R-mclust",
"R-diptest",
"R-CRAN-recommended",
"R-moments",
"R-tibble"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-covr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-trelliscopejs"
]
}
]
},
{
"name": "kubectl-1.27",
"portdir": "sysutils/kubectl",
"version": "1.27.16",
"license": "Apache-2",
"platforms": "darwin freebsd linux",
"epoch": 0,
"replaced_by": null,
"homepage": "https://kubectl.docs.kubernetes.io/",
"description": "Kubernetes cluster CLI",
"long_description": "Command line interface for running commands against Kubernetes clusters",
"active": true,
"categories": [
"sysutils"
],
"maintainers": [
{
"name": "patarra",
"github": "patarra",
"ports_count": 29
},
{
"name": "herby.gillot",
"github": "herbygillot",
"ports_count": 1074
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"go",
"bash",
"clang-18"
]
},
{
"type": "run",
"ports": [
"kubectl_select"
]
}
],
"depends_on": []
},
{
"name": "R-weights",
"portdir": "R/R-weights",
"version": "1.0.4",
"license": "(GPL-2 or GPL-3)",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=weights",
"description": "Weighting and weighted statistics",
"long_description": "Weighting and weighted statistics",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-gdata",
"R-mice",
"R-lme4",
"R-CRAN-recommended",
"R-Hmisc"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-anesrake",
"R-lctools",
"R-maic",
"R-smacof"
]
},
{
"type": "test",
"ports": [
"R-jtools"
]
}
]
}
]
}