HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 51560,
"next": "https://ports.macports.org/api/v1/ports/?format=api&ordering=created_at&page=793",
"previous": "https://ports.macports.org/api/v1/ports/?format=api&ordering=created_at&page=791",
"results": [
{
"name": "R-anocva",
"portdir": "R/R-anocva",
"version": "0.1.1",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=anocva",
"description": "Non-parametric statistical test to compare clustering structures",
"long_description": "Non-parametric statistical test to compare clustering structures",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-igraph"
]
}
],
"depends_on": []
},
{
"name": "R-assertr",
"portdir": "R/R-assertr",
"version": "3.0.1",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://docs.ropensci.org/assertr",
"description": "Assertive programming for R analysis pipelines",
"long_description": "Assertive programming for R analysis pipelines",
"active": true,
"categories": [
"devel",
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-dplyr",
"R-CRAN-recommended",
"R-rlang"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-covr",
"R-magrittr",
"R-tibble",
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-data.validator"
]
},
{
"type": "test",
"ports": [
"R-libbib"
]
}
]
},
{
"name": "R-bayesmeta",
"portdir": "R/R-bayesmeta",
"version": "3.4",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://gitlab.gwdg.de/croever/bayesmeta",
"description": "Bayesian random-effects meta-analysis and meta-regression",
"long_description": "Bayesian random-effects meta-analysis and meta-regression",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-forestplot",
"R-metafor",
"R-CRAN-recommended",
"R-mvtnorm",
"R-numDeriv"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown",
"R-R.rsp",
"R-compute.es"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-ra4bayesmeta"
]
}
]
},
{
"name": "R-compute.es",
"portdir": "R/R-compute.es",
"version": "0.2-5",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=compute.es",
"description": "Compute effect sizes",
"long_description": "Compute effect sizes",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-bayesmeta",
"R-RcmdrPlugin.MA"
]
}
]
},
{
"name": "R-cpd",
"portdir": "R/R-cpd",
"version": "0.3.2",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=cpd",
"description": "Complex Pearson Distributions",
"long_description": "Complex Pearson Distributions",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-dgof",
"R-Rdpack",
"R-CRAN-recommended",
"R-hypergeo"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-RcmdrPlugin.cpd"
]
}
]
},
{
"name": "R-data.validator",
"portdir": "R/R-data.validator",
"version": "0.2.1",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://appsilon.github.io/data.validator",
"description": "Automatic data validation and reporting",
"long_description": "Automatic data validation and reporting",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-tibble",
"R-dplyr",
"R-htmltools",
"R-purrr",
"R-tidyr",
"R-knitr",
"R-htmlwidgets",
"R-rmarkdown",
"R-assertr",
"R-shiny.semantic",
"R-CRAN-recommended",
"R-R6",
"R-rlang"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-fs",
"R-magrittr",
"R-withr",
"R-shiny",
"R-testthat",
"R-rcmdcheck",
"R-readr",
"R-covr",
"R-lintr",
"R-spelling",
"R-visNetwork",
"R-targets",
"R-fixtuRes"
]
}
],
"depends_on": []
},
{
"name": "R-factorstochvol",
"portdir": "R/R-factorstochvol",
"version": "1.1.0",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=factorstochvol",
"description": "Bayesian estimation of (sparse) latent factor stochastic volatility models",
"long_description": "Bayesian estimation of (sparse) latent factor stochastic volatility 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": [
"gcc13",
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-GIGrvg",
"R-stochvol",
"R-corrplot",
"R-CRAN-recommended",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-coda",
"R-zoo",
"R-RColorBrewer",
"R-knitr",
"R-testthat",
"R-LSD"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-bayesianVARs"
]
}
]
},
{
"name": "R-fixtuRes",
"portdir": "R/R-fixtuRes",
"version": "0.1.3",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://jakubnowicki.github.io/fixtuRes",
"description": "Mock data generator",
"long_description": "Mock data generator",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-stringi",
"R-glue",
"R-checkmate",
"R-dplyr",
"R-purrr",
"R-yaml",
"R-lubridate",
"R-CRAN-recommended",
"R-R6",
"R-rlang"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-lintr"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-data.validator"
]
}
]
},
{
"name": "R-gamlss.mx",
"portdir": "R/R-gamlss.mx",
"version": "6.0-1",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=gamlss.mx",
"description": "Fit mixture distributions with GAMLSS",
"long_description": "Fit mixture distributions with GAMLSS",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-gamlss",
"R-gamlss.dist",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-interval",
"portdir": "R/R-interval",
"version": "1.1-1.0",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=interval",
"description": "Weighted logrank tests and NPMLE for interval-censored data",
"long_description": "Weighted logrank tests and NPMLE for interval-censored data",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-Icens",
"R-perm",
"R-CRAN-recommended",
"R-MLEcens"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-coin"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-DCchoice",
"R-FHtest"
]
},
{
"type": "test",
"ports": [
"R-ReIns"
]
}
]
},
{
"name": "R-lessSEM",
"portdir": "R/R-lessSEM",
"version": "1.5.5",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://jhorzek.github.io/lessSEM",
"description": "Non-smooth regularization for structural equation models",
"long_description": "Non-smooth regularization for structural equation 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": [
"gcc13",
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-RcppParallel",
"R-rlang",
"R-mvtnorm",
"R-numDeriv",
"R-stringr",
"R-tidyr",
"R-ggplot2",
"R-lavaan",
"R-CRAN-recommended",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown",
"R-Rsolnp",
"R-plotly"
]
}
],
"depends_on": []
},
{
"name": "R-libbib",
"portdir": "R/R-libbib",
"version": "1.6.4",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=libbib",
"description": "Various utilities for library science/assessment and cataloging",
"long_description": "Various utilities for library science/assessment and cataloging",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-xml2",
"R-stringr",
"R-pbapply",
"R-CRAN-recommended",
"R-curl",
"R-data.table"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-magrittr",
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-assertr"
]
}
],
"depends_on": []
},
{
"name": "R-orders",
"portdir": "R/R-orders",
"version": "0.1.8",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=orders",
"description": "Sampling from k-th order statistics of new families of distributions",
"long_description": "Sampling from k-th order statistics of new families of 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-actuar",
"R-gamlss.dist",
"R-Newdistns",
"R-CRAN-recommended",
"R-VGAM"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-perm",
"portdir": "R/R-perm",
"version": "1.0-0.4",
"license": "GPL",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=perm",
"description": "Exact or asymptotic permutation tests",
"long_description": "Exact or asymptotic permutation tests",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-coin"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-interval",
"R-asht",
"R-FHtest"
]
}
]
},
{
"name": "R-piton",
"portdir": "R/R-piton",
"version": "1.0.0",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=piton",
"description": "Parsing of expression grammars in Rcpp",
"long_description": "Parsing of expression grammars in Rcpp",
"active": true,
"categories": [
"devel",
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-Rcpp",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-tidyxl"
]
}
]
},
{
"name": "R-ra4bayesmeta",
"portdir": "R/R-ra4bayesmeta",
"version": "1.0-8",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=ra4bayesmeta",
"description": "Reference analysis for Bayesian meta-analysis",
"long_description": "Reference analysis for Bayesian meta-analysis",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-bayesmeta",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-rtape",
"portdir": "R/R-rtape",
"version": "2.2",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://mbq.me/rtape",
"description": "Manage and manipulate large collections of R objects stored as tape-like files",
"long_description": "Manage and manipulate large collections of R objects stored as tape-like files",
"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": []
},
{
"name": "R-scrime",
"portdir": "R/R-scrime",
"version": "1.3.5",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=scrime",
"description": "Analysis of high-dimensional categorical data such as SNP data",
"long_description": "Analysis of high-dimensional categorical data such as SNP data",
"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-BayesSUR"
]
}
]
},
{
"name": "R-sdwd",
"portdir": "R/R-sdwd",
"version": "1.0.5",
"license": "GPL-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=sdwd",
"description": "Sparse Distance Weighted Discrimination",
"long_description": "Sparse Distance Weighted Discrimination",
"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": [
"R",
"clang-16",
"gcc13"
]
},
{
"type": "lib",
"ports": [
"libgcc",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-shiny.semantic",
"portdir": "R/R-shiny.semantic",
"version": "0.5.1",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://appsilon.github.io/shiny.semantic",
"description": "Semantic UI support for Shiny",
"long_description": "Semantic UI support for Shiny",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-purrr",
"R-shiny",
"R-htmlwidgets",
"R-CRAN-recommended",
"R-semantic.assets",
"R-R6",
"R-htmltools",
"R-glue",
"R-jsonlite",
"R-magrittr"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-plotly",
"R-gapminder",
"R-leaflet",
"R-tibble",
"R-withr",
"R-dplyr",
"R-knitr",
"R-testthat",
"R-DT",
"R-markdown",
"R-rmarkdown",
"R-rcmdcheck",
"R-covr",
"R-mockery",
"R-lintr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-data.validator"
]
},
{
"type": "test",
"ports": [
"R-semantic.assets"
]
}
]
},
{
"name": "socnetv",
"portdir": "science/socnetv",
"version": "3.2",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://socnetv.org/",
"description": "Social Network Visualizer",
"long_description": "Social Network Visualizer (SocNetV) is a cross-platform, user-friendly free graphical software application for social network analysis and visualization.",
"active": true,
"categories": [
"science"
],
"maintainers": [
{
"name": "szhorvat",
"github": "szhorvat",
"ports_count": 18
}
],
"variants": [
"debug",
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"cmake",
"clang-17"
]
},
{
"type": "lib",
"ports": [
"qt64-qtbase",
"qt64-qtcharts",
"qt64-qtsvg",
"qt64-qt5compat"
]
}
],
"depends_on": []
},
{
"name": "R-BTdecayLasso",
"portdir": "R/R-BTdecayLasso",
"version": "0.1.1",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=BTdecayLasso",
"description": "Bradley–Terry model with exponential time decayed log-likelihood and adaptive lasso",
"long_description": "Bradley–Terry model with exponential time decayed log-likelihood and adaptive lasso",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-ggplot2",
"R-optimx",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-DPP",
"portdir": "R/R-DPP",
"version": "0.1.2",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=DPP",
"description": "Inference of parameters of normal distributions from a mixture of normals",
"long_description": "This MCMC method takes a data numeric vector (Y) and assigns the elements of Y to a (potentially infinite) number of normal distributions. The individual normal distributions from a mixture of normals can be inferred.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-coda",
"R-CRAN-recommended",
"R-Rcpp"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-R.rsp"
]
}
],
"depends_on": []
},
{
"name": "R-DPtree",
"portdir": "R/R-DPtree",
"version": "1.0.1",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=DPtree",
"description": "Dirichlet-based Polya Tree",
"long_description": "Contains functions to perform copula estimation by the non-parametric Bayesian method, Dirichlet-based Polya tree.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-MCMCpack",
"R-plyr",
"R-CRAN-recommended",
"R-Rdpack"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-DstarM",
"portdir": "R/R-DstarM",
"version": "0.4.0",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=DstarM",
"description": "Analyze two choice reaction time data with the D*M method",
"long_description": "Analyze two choice reaction time data with the D*M method",
"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-ggplot2",
"R-RWiener",
"R-rtdists",
"R-DEoptim",
"R-CRAN-recommended",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"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-16",
"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-ROI.plugin.ecos",
"portdir": "R/R-ROI.plugin.ecos",
"version": "1.0-2",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://gitlab.com/roigrp/solver/ROI.plugin.ecos",
"description": "ECOS plug-in for the R Optimization Infrastructure",
"long_description": "ECOS plug-in for the R Optimization Infrastructure",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-ROI",
"R-slam",
"R-CRAN-recommended",
"R-ECOSolveR"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-holiglm"
]
},
{
"type": "test",
"ports": [
"R-detectseparation"
]
}
]
},
{
"name": "R-ROI.plugin.scs",
"portdir": "R/R-ROI.plugin.scs",
"version": "1.1-2",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://gitlab.com/roigrp/solver/ROI.plugin.scs",
"description": "SCS plug-in for the R Optimization Infrastructure",
"long_description": "SCS plug-in for the R Optimization Infrastructure",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-ROI",
"R-slam",
"R-CRAN-recommended",
"R-scs"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-holiglm"
]
}
]
},
{
"name": "R-TSS.RESTREND",
"portdir": "R/R-TSS.RESTREND",
"version": "0.3.1",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=TSS.RESTREND",
"description": "Time Series Segmentation of Residual Trends",
"long_description": "Time Series Segmentation of Residual Trends",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-broom",
"R-strucchange",
"R-bfast",
"R-mblm",
"R-CRAN-recommended",
"R-RcppRoll",
"R-ggplot2"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-car",
"R-rgl"
]
}
],
"depends_on": []
},
{
"name": "R-autoTS",
"portdir": "R/R-autoTS",
"version": "0.9.11",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=autoTS",
"description": "Automatic model selection and prediction for univariate time series",
"long_description": "Automatic model selection and prediction for univariate time series",
"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-rlang",
"R-dplyr",
"R-tidyr",
"R-ggplot2",
"R-lubridate",
"R-shiny",
"R-forecast",
"R-prophet",
"R-plotly",
"R-shinycssloaders",
"R-CRAN-recommended",
"R-RcppRoll",
"R-magrittr"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-stringr",
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-bigsplines",
"portdir": "R/R-bigsplines",
"version": "1.1-1",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=bigsplines",
"description": "Smoothing splines for large samples",
"long_description": "Fits smoothing spline regression models using scalable algorithms designed for large samples.",
"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-quadprog",
"R-CRAN-recommended",
"libgcc"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-clogitLasso",
"portdir": "R/R-clogitLasso",
"version": "1.1",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=clogitLasso",
"description": "Sparse conditional logistic regression for matched studies",
"long_description": "Sparse conditional logistic regression for matched studies",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-foreach",
"R-lassoshooting",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-dineq",
"portdir": "R/R-dineq",
"version": "0.1.0",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=dineq",
"description": "Decomposition of (income) inequality",
"long_description": "Decomposition of (income) inequality",
"active": true,
"categories": [
"science",
"R",
"economics"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-Hmisc",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-lorenz"
]
}
]
},
{
"name": "R-dng",
"portdir": "R/R-dng",
"version": "0.2.1",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=dng",
"description": "Distributions and Gradients",
"long_description": "Distributions and Gradients",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-Rcpp",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-gtop",
"portdir": "R/R-gtop",
"version": "0.2.0",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=gtop",
"description": "Game-Theoretically OPtimal (GTOP) reconciliation method",
"long_description": "Game-Theoretically OPtimal (GTOP) reconciliation method",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-lassoshooting",
"R-quadprog",
"R-CRAN-recommended",
"R-hts"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-holiglm",
"portdir": "R/R-holiglm",
"version": "1.0.0",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=holiglm",
"description": "Holistic generalized linear models",
"long_description": "Holistic generalized linear models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-SuppDists",
"R-ROI",
"R-ROI.plugin.ecos",
"R-CRAN-recommended",
"R-checkmate",
"R-slam"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown",
"R-tinytest",
"R-DiagrammeR",
"R-bookdown",
"R-ROI.plugin.scs"
]
}
],
"depends_on": []
},
{
"name": "R-lassoshooting",
"portdir": "R/R-lassoshooting",
"version": "0.1.5-1.1",
"license": "LGPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=lassoshooting",
"description": "L1-regularized regression (lasso) solver using the cyclic coordinate descent algorithm",
"long_description": "L1-regularized regression (lasso) solver using the cyclic coordinate descent algorithm",
"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": [
"R",
"clang-16",
"gcc13"
]
},
{
"type": "lib",
"ports": [
"libgcc",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-gtop",
"R-clogitLasso"
]
}
]
},
{
"name": "R-lmodel2",
"portdir": "R/R-lmodel2",
"version": "1.7-3",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=lmodel2",
"description": "Model II regression",
"long_description": "Model II regression",
"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-ggpmisc",
"R-treeclim"
]
},
{
"type": "test",
"ports": [
"R-broom"
]
}
]
},
{
"name": "R-logiBin",
"portdir": "R/R-logiBin",
"version": "0.3",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=logiBin",
"description": "Binning variables to use in logistic regression",
"long_description": "Binning variables to use in logistic regression",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-doParallel",
"R-foreach",
"R-partykit",
"R-CRAN-recommended",
"R-data.table",
"R-iterators"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-lorenz",
"portdir": "R/R-lorenz",
"version": "0.1.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=lorenz",
"description": "Tools for deriving income inequality estimates from grouped income data",
"long_description": "Tools for deriving income inequality estimates from grouped income data",
"active": true,
"categories": [
"science",
"R",
"economics"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-dineq",
"R-CRAN-recommended",
"R-magrittr"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-mblm",
"portdir": "R/R-mblm",
"version": "0.12.1",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=mblm",
"description": "Median-Based Linear Models",
"long_description": "Median-Based Linear Models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-TSS.RESTREND"
]
}
]
},
{
"name": "R-mme",
"portdir": "R/R-mme",
"version": "0.1-6",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=mme",
"description": "Multinomial mixed effects models",
"long_description": "Fit Gaussian multinomial mixed-effects models for small area estimation.",
"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-nestfs",
"portdir": "R/R-nestfs",
"version": "1.0.3",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/mcol/nestfs",
"description": "Cross-validated (nested) forward selection",
"long_description": "Cross-validated (nested) forward selection",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-dgof",
"R-CRAN-recommended",
"R-pROC"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-polyCub",
"portdir": "R/R-polyCub",
"version": "0.9.1",
"license": "GPL-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/bastistician/polyCub",
"description": "Cubature over polygonal domains",
"long_description": "Cubature over polygonal domains",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-sp"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-markdown",
"R-microbenchmark",
"R-sf",
"R-spatstat.geom",
"R-cubature",
"R-mvtnorm",
"R-statmod",
"R-knitr"
]
}
],
"depends_on": []
},
{
"name": "R-primefactr",
"portdir": "R/R-primefactr",
"version": "0.1.1",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=primefactr",
"description": "Use prime factorization for simplifying computations",
"long_description": "Use prime factorization for simplifying computations",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-covr"
]
}
],
"depends_on": []
},
{
"name": "R-prodest",
"portdir": "R/R-prodest",
"version": "1.0.1",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=prodest",
"description": "Production function estimation",
"long_description": "Production function estimation",
"active": true,
"categories": [
"science",
"R",
"economics"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-AER",
"R-DEoptim",
"R-CRAN-recommended",
"R-dplyr",
"R-Rsolnp"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-r6methods",
"portdir": "R/R-r6methods",
"version": "0.1.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=r6methods",
"description": "Add methods to R6 class definition",
"long_description": "Add methods to R6 class definition",
"active": true,
"categories": [
"devel",
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-stringr",
"R-dplyr",
"R-purrr",
"R-shiny",
"R-miniUI",
"R-rstudioapi",
"R-CRAN-recommended",
"R-magrittr",
"R-glue"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-R6",
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-sqliteutils",
"portdir": "R/R-sqliteutils",
"version": "0.1.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=sqliteutils",
"description": "Utility functions for SQLite",
"long_description": "Utility functions for SQLite",
"active": true,
"categories": [
"databases",
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-dplyr",
"R-dbplyr",
"R-RSQLite",
"R-CRAN-recommended",
"R-magrittr",
"R-DBI"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "py311-python-dotenv",
"portdir": "python/py-python-dotenv",
"version": "1.2.2",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/theskumar/python-dotenv",
"description": "Add .env support to your django/flask apps in development and deployments",
"long_description": "Add .env support to your django/flask apps in development and deployments Reads the key-value pair from .env file and adds them to environment variable. It is great for managing app settings during development and in production using 12-factor principles.",
"active": true,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "emcrisostomo",
"github": "emcrisostomo",
"ports_count": 168
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-wheel",
"clang-18",
"py311-build",
"py311-installer",
"py311-setuptools"
]
},
{
"type": "lib",
"ports": [
"python311",
"py311-click"
]
},
{
"type": "test",
"ports": [
"py311-pytest",
"py311-ipython",
"py311-sh"
]
}
],
"depends_on": [
{
"type": "build",
"ports": [
"py311-pydantic_settings"
]
},
{
"type": "lib",
"ports": [
"docker-compose",
"py311-pytest-dotenv"
]
}
]
},
{
"name": "py311-aiofiles",
"portdir": "python/py-aiofiles",
"version": "25.1.0",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/Tinche/aiofiles",
"description": "File support for asyncio.",
"long_description": "File support for asyncio.",
"active": true,
"categories": [
"python"
],
"maintainers": [
{
"name": "judaew",
"github": "judaew",
"ports_count": 654
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py311-build",
"py311-installer",
"py311-hatchling",
"clang-18"
]
},
{
"type": "lib",
"ports": [
"python311",
"py311-hatch-vcs"
]
}
],
"depends_on": []
}
]
}