HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 51973,
"next": "https://ports.macports.org/api/v1/ports/?format=api&ordering=updated_at&page=260",
"previous": "https://ports.macports.org/api/v1/ports/?format=api&ordering=updated_at&page=258",
"results": [
{
"name": "R-edstan",
"portdir": "R/R-edstan",
"version": "1.0.6",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=edstan",
"description": "Stan models for item response theory",
"long_description": "Provides convenience functions and pre-programmed Stan models related to item response theory.",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-ggplot2",
"R-rstan"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-effClust",
"portdir": "R/R-effClust",
"version": "0.8.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=effClust",
"description": "Calculate effective number of clusters for a linear model",
"long_description": "Calculate effective number of clusters for a linear model",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-fixest",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-plm",
"R-data.table"
]
}
],
"depends_on": []
},
{
"name": "R-eff2",
"portdir": "R/R-eff2",
"version": "1.0.2",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/richardkwo/eff2",
"description": "Efficient least squares for total causal effects",
"long_description": "Efficient least squares for total causal effects",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-pcalg",
"R-CRAN-recommended",
"R-igraph",
"R-RBGL"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-qgraph"
]
}
],
"depends_on": []
},
{
"name": "R-effects",
"portdir": "R/R-effects",
"version": "4.2-2",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=effects",
"description": "Effect displays for linear, generalized linear and other models",
"long_description": "Graphical and tabular effect displays, e.g., of interactions, for various statistical models with linear predictors.",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-survey",
"R-estimability",
"R-lme4",
"R-carData",
"R-CRAN-recommended",
"R-colorspace",
"R-insight"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-ordinal",
"R-knitr",
"R-betareg",
"R-car",
"R-pbkrtest",
"R-heplots",
"R-poLCA",
"R-alr4",
"R-robustlmm"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-GLMpack",
"R-nestedLogit",
"R-alr4",
"R-Rcmdr"
]
},
{
"type": "test",
"ports": [
"R-cv",
"R-ggeffects",
"R-heplots",
"R-ivreg",
"R-sdmTMB",
"R-AER",
"R-sjPlot",
"R-GLMMadaptive",
"R-afex",
"R-car"
]
}
]
},
{
"name": "R-effectsize",
"portdir": "R/R-effectsize",
"version": "1.0.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://easystats.github.io/effectsize",
"description": "Indices of effect size",
"long_description": "Indices of effect size",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-bayestestR",
"R-performance",
"R-parameters",
"R-datawizard",
"R-insight"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-correlation",
"R-see",
"R-emmeans",
"R-car",
"R-lmerTest",
"R-parsnip",
"R-rms",
"R-BayesFactor",
"R-afex",
"R-pwr",
"R-gt",
"R-rstantools",
"R-knitr",
"R-testthat",
"R-brms",
"R-lavaan",
"R-lme4",
"R-rmarkdown",
"R-rstanarm"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-bruceR",
"R-easystats",
"R-report",
"R-see",
"R-sjstats",
"R-statsExpressions",
"R-modelbased"
]
},
{
"type": "test",
"ports": [
"R-bayestestR",
"R-tidystats",
"R-cardx",
"R-datawizard",
"R-gtsummary",
"R-insight",
"R-papaja",
"R-rempsyc"
]
}
]
},
{
"name": "R-egg",
"portdir": "R/R-egg",
"version": "0.4.5",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=egg",
"description": "Miscellaneous functions to help customise ggplot2 objects",
"long_description": "Miscellaneous functions to help customise ggplot2 objects",
"active": true,
"categories": [
"graphics",
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-ggplot2",
"R-gridExtra",
"R-CRAN-recommended",
"R-gtable"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-png",
"R-knitr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-baycn",
"R-heatmaply"
]
}
]
},
{
"name": "R-effsize",
"portdir": "R/R-effsize",
"version": "0.8.1",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=effsize",
"description": "Efficient effect size computation",
"long_description": "Efficient effect size computation",
"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-testthat"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-atable"
]
},
{
"type": "test",
"ports": [
"R-tidystats"
]
}
]
},
{
"name": "R-eglhmm",
"portdir": "R/R-eglhmm",
"version": "0.1-3",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=eglhmm",
"description": "Extended generalised linear hidden Markov models",
"long_description": "Extended generalised linear hidden Markov models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [
"clang13",
"clang14",
"clang15",
"clang16",
"clang17",
"clang18",
"clang19",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gcc14",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R",
"gcc14"
]
},
{
"type": "lib",
"ports": [
"libgcc",
"libgcc14",
"R-CRAN-recommended",
"R-dbd"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-R.rsp"
]
}
],
"depends_on": []
},
{
"name": "R-eha",
"portdir": "R/R-eha",
"version": "2.11.5",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://ehar.se/r/eha",
"description": "Event History Analysis",
"long_description": "Event History Analysis",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [
"clang13",
"clang14",
"clang15",
"clang16",
"clang17",
"clang18",
"clang19",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gcc14",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R",
"gcc14"
]
},
{
"type": "lib",
"ports": [
"libgcc",
"R-CRAN-recommended",
"libgcc14"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown",
"R-bookdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-mlt.docreg"
]
},
{
"type": "test",
"ports": [
"R-flexsurv",
"R-memisc",
"R-rstpm2",
"R-texreg"
]
}
]
},
{
"name": "R-eicm",
"portdir": "R/R-eicm",
"version": "1.0.3",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=eicm",
"description": "Explicit Interaction Community Models",
"long_description": "Explicit Interaction Community Models",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-foreach",
"R-snow",
"R-GA",
"R-pso",
"R-doSNOW",
"R-optimParallel",
"R-CRAN-recommended",
"R-ucminf",
"R-iterators"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-igraph",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-eigenmodel",
"portdir": "R/R-eigenmodel",
"version": "1.11",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pdhoff.github.io",
"description": "Semi-parametric factor and regression models for symmetric relational data",
"long_description": "Semi-parametric factor and regression models for symmetric relational data",
"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-networktools"
]
}
]
},
{
"name": "R-eikosograms",
"portdir": "R/R-eikosograms",
"version": "0.1.1",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/rwoldford/eikosograms",
"description": "Picture of probability",
"long_description": "Picture of probability",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-plyr",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-gridExtra",
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-eimpute",
"portdir": "R/R-eimpute",
"version": "0.2.4",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=eimpute",
"description": "Efficiently impute large scale incomplete matrix",
"long_description": "Efficiently impute large scale incomplete matrix",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [
"clang13",
"clang14",
"clang15",
"clang16",
"clang17",
"clang18",
"clang19",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gcc14",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R",
"gcc14"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"libgcc14",
"libgcc",
"R-Rcpp",
"R-RcppEigen"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr"
]
}
],
"depends_on": []
},
{
"name": "R-einet",
"portdir": "R/R-einet",
"version": "1.1.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://travisbyrum.github.io/einet",
"description": "Methods and utilities for causal emergence",
"long_description": "Used to explore and compute various information theory metrics for networks, such as effective information, effectiveness and causal emergence.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-magrittr",
"R-shiny",
"R-igraph",
"R-CRAN-recommended",
"R-assertthat",
"R-entropy"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-RColorBrewer",
"R-knitr",
"R-testthat",
"R-markdown",
"R-rmarkdown",
"R-spelling",
"R-bench"
]
}
],
"depends_on": []
},
{
"name": "R-einsum",
"portdir": "R/R-einsum",
"version": "0.1.2",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=einsum",
"description": "Einstein Summation",
"long_description": "Einstein Summation",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-glue",
"R-mathjaxr",
"R-CRAN-recommended",
"R-Rcpp"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-covr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-gcTensor"
]
}
]
},
{
"name": "R-elasticnet",
"portdir": "R/R-elasticnet",
"version": "1.3",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=elasticnet",
"description": "Elastic net for sparse estimation and sparse PCA",
"long_description": "Elastic net for sparse estimation and sparse PCA",
"active": true,
"categories": [
"science",
"math",
"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-LINselect",
"R-bujar",
"R-rospca",
"R-sparseLDA"
]
}
]
},
{
"name": "R-elfDistr",
"portdir": "R/R-elfDistr",
"version": "1.0.0",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=elfDistr",
"description": "Kumaraswamy complementary Weibull geometric (Kw-CWG) probability distribution",
"long_description": "Kumaraswamy complementary Weibull geometric (Kw-CWG) probability distribution",
"active": true,
"categories": [
"science",
"math",
"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"
]
}
],
"depends_on": []
},
{
"name": "R-elhmc",
"portdir": "R/R-elhmc",
"version": "1.2.1",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=elhmc",
"description": "Sampling from an Empirical Likelihood Bayesian posterior of parameters using Hamiltonian Monte Carlo",
"long_description": "Sampling from an Empirical Likelihood Bayesian posterior of parameters using Hamiltonian Monte Carlo",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-plyr",
"R-emplik",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-ellipse",
"portdir": "R/R-ellipse",
"version": "0.5.0",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://dmurdoch.github.io/ellipse",
"description": "Functions for drawing ellipses and ellipse-like confidence regions",
"long_description": "Functions for drawing ellipses and ellipse-like confidence regions",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-AppliedPredictiveModeling",
"R-BayesianTools",
"R-FactoMineR",
"R-GMCM",
"R-NPflow",
"R-gamlss.ggplots",
"R-mcmcse",
"R-mixOmics",
"R-smacof"
]
},
{
"type": "test",
"ports": [
"R-emdbook",
"R-flexclust",
"R-robustfa",
"R-geostatsp",
"R-lava",
"R-logmult",
"R-nlmeU",
"R-PlaneGeometry",
"R-caret",
"R-cellWise",
"R-cluster"
]
}
]
},
{
"name": "R-ellipsis",
"portdir": "R/R-ellipsis",
"version": "0.3.2",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://ellipsis.r-lib.org",
"description": "Tool for extending functions",
"long_description": "The ellipsis is a powerful tool for extending functions. Unfortunately this power comes at a cost: misspelled arguments will be silently ignored. The ellipsis package provides a collection of functions to catch problems and alert the user.",
"active": true,
"categories": [
"devel",
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-rlang",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-covr",
"R-testthat"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-brisk",
"R-dann",
"R-devtools",
"R-fastadi",
"R-forcats",
"R-plumber",
"R-shiny",
"R-tclust",
"R-tsibble",
"R-vetiver"
]
}
]
},
{
"name": "R-elliptic",
"portdir": "R/R-elliptic",
"version": "1.4-0",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=elliptic",
"description": "Weierstrass and Jacobi elliptic functions",
"long_description": "Weierstrass and Jacobi elliptic functions",
"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-mvtnorm",
"R-calibrator",
"R-emulator"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-cmvnorm",
"R-hypergeo"
]
},
{
"type": "test",
"ports": [
"R-PlaneGeometry",
"R-jacobi"
]
}
]
},
{
"name": "R-elmNNRcpp",
"portdir": "R/R-elmNNRcpp",
"version": "1.0.4",
"license": "(GPL-2 or GPL-3)",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://mlampros.github.io/elmNNRcpp",
"description": "Extreme learning machine algorithm",
"long_description": "Extreme learning machine algorithm",
"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-KernelKnn",
"R-CRAN-recommended",
"libgcc14",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-covr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-daltoolbox"
]
}
]
},
{
"name": "R-elrm",
"portdir": "R/R-elrm",
"version": "1.2.5",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=elrm",
"description": "Exact Logistic Regression via MCMC",
"long_description": "Exact Logistic Regression via MCMC",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-coda",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-emBayes",
"portdir": "R/R-emBayes",
"version": "0.1.6",
"license": "GPL-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=emBayes",
"description": "Robust Bayesian variable selection via expectation maximization",
"long_description": "Robust Bayesian variable selection via expectation maximization",
"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-glmnet",
"R-CRAN-recommended",
"libgcc",
"libgcc14",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-emayili",
"portdir": "R/R-emayili",
"version": "0.9.1",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://datawookie.github.io/emayili",
"description": "Light, simple tool for sending e-mails with minimal dependencies",
"long_description": "Light, simple tool for sending e-mails with minimal dependencies",
"active": true,
"categories": [
"science",
"mail",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-magrittr",
"R-mime",
"R-stringi",
"R-xfun",
"R-xml2",
"R-glue",
"R-digest",
"R-stringr",
"R-dplyr",
"R-htmltools",
"R-purrr",
"R-tidyr",
"R-commonmark",
"R-rmarkdown",
"R-httr",
"R-rvest",
"R-urltools",
"R-logger",
"R-CRAN-recommended",
"R-base64enc",
"R-curl"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-memoise",
"R-here",
"R-testthat",
"R-roxygen2",
"R-lintr",
"R-showtext",
"R-gpg",
"R-jinjar"
]
}
],
"depends_on": []
},
{
"name": "R-emdbook",
"portdir": "R/R-emdbook",
"version": "1.3.13",
"license": "GPL",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.math.mcmaster.ca/bolker/emdbook",
"description": "Support functions and data for Ecological Models and Data",
"long_description": "Support functions and data for Ecological Models and Data",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-bbmle",
"R-CRAN-recommended",
"R-coda",
"R-plyr"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-numDeriv",
"R-testthat",
"R-R2jags",
"R-ellipse",
"R-rgl",
"R-SuppDists"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-apeglm"
]
},
{
"type": "test",
"ports": [
"R-bbmle",
"R-fitteR"
]
}
]
},
{
"name": "R-emg",
"portdir": "R/R-emg",
"version": "1.0.9",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=emg",
"description": "Exponentially-Modified Gaussian (EMG) distribution",
"long_description": "Exponentially-Modified Gaussian (EMG) distribution",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-moments",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-bayes4psy"
]
},
{
"type": "test",
"ports": [
"R-fitteR"
]
}
]
},
{
"name": "R-emmeans",
"portdir": "R/R-emmeans",
"version": "1.10.6",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/rvlenth/emmeans",
"description": "Estimated marginal means, aka least-squares means",
"long_description": "Estimated marginal means, aka least-squares means",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-numDeriv",
"R-mvtnorm",
"R-estimability",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-tibble",
"R-ggplot2",
"R-knitr",
"R-scales",
"R-testthat",
"R-bayesplot",
"R-brms",
"R-lme4",
"R-rmarkdown",
"R-rstanarm",
"R-car",
"R-lmerTest",
"R-pbkrtest",
"R-logspline",
"R-MCMCpack",
"R-mice",
"R-multcomp",
"R-sommer",
"R-geepack",
"R-MCMCglmm",
"R-gee",
"R-pscl",
"R-coxme",
"R-compositions",
"R-mediation",
"R-MuMIn",
"R-multcompView",
"R-rsm",
"R-xtable",
"R-bayestestR",
"R-coda",
"R-biglm",
"R-ordinal",
"R-sandwich"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-multilevelcoda",
"R-lsmeans",
"R-bruceR",
"R-peramo",
"R-piecewiseSEM",
"R-jmv",
"R-FactoMineR"
]
},
{
"type": "test",
"ports": [
"R-cardx",
"R-datawizard",
"R-effectsize",
"R-estimatr",
"R-fixest",
"R-ggeffects",
"R-ggstats",
"R-gtsummary",
"R-insight",
"R-lavaSearch2",
"R-logistf",
"R-mmrm",
"R-modelbased",
"R-nlraa",
"R-papaja",
"R-r2rtf",
"R-rbmi",
"R-rempsyc",
"R-report",
"R-robustlmm",
"R-rsm",
"R-rstatix",
"R-sdmTMB",
"R-see",
"R-semTools",
"R-spmodel",
"R-survstan",
"R-tidybayes",
"R-tidystats",
"R-GLMMadaptive",
"R-afex",
"R-bayestestR",
"R-brms",
"R-brms.mmrm",
"R-broom"
]
}
]
},
{
"name": "R-emoa",
"portdir": "R/R-emoa",
"version": "0.5-3",
"license": "GPL-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/olafmersmann/emoa/",
"description": "Evolutionary Multiobjective Optimization Algorithms",
"long_description": "Evolutionary Multiobjective Optimization Algorithms",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-GPareto"
]
},
{
"type": "test",
"ports": [
"R-mlr3mbo"
]
}
]
},
{
"name": "R-emojifont",
"portdir": "R/R-emojifont",
"version": "0.5.5",
"license": "Artistic-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=emojifont",
"description": "Emoji and fontawesome in base and ggplot2 graphics both",
"long_description": "Emoji and fontawesome in base and ggplot2 graphics both",
"active": true,
"categories": [
"graphics",
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-showtext",
"R-sysfonts",
"R-CRAN-recommended",
"R-ggplot2",
"R-proto"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-colorspace",
"R-knitr",
"R-rmarkdown",
"R-prettydoc"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-ggtree"
]
}
]
},
{
"name": "R-emplik",
"portdir": "R/R-emplik",
"version": "1.3-2",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.ms.uky.edu/~mai/EmpLik.html",
"description": "Empirical likelihood ratio for censored/truncated data",
"long_description": "Empirical likelihood ratio for censored/truncated data",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-quantreg",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-KMsurv",
"R-testthat"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-Compositional",
"R-elhmc",
"R-glmc",
"R-mvhtests"
]
},
{
"type": "test",
"ports": [
"R-LRTesteR"
]
}
]
},
{
"name": "R-emplik2",
"portdir": "R/R-emplik2",
"version": "1.33",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=emplik2",
"description": "Empirical likelihood ratio test for two samples with censored data",
"long_description": "Empirical likelihood ratio test for two samples with censored data",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-LRTesteR"
]
}
]
},
{
"name": "R-emulator",
"portdir": "R/R-emulator",
"version": "1.2-24",
"license": "GPL",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/RobinHankin/emulator",
"description": "Bayesian emulation of computer programs",
"long_description": "Bayesian emulation of computer programs",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-mvtnorm",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-rmarkdown",
"R-knitr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-onion",
"R-calibrator",
"R-cmvnorm",
"R-BayesianTools",
"R-lorentz"
]
},
{
"type": "test",
"ports": [
"R-elliptic",
"R-stokes"
]
}
]
},
{
"name": "R-energy",
"portdir": "R/R-energy",
"version": "1.7-12",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://mariarizzo.github.io/energy/index.html",
"description": "Multivariate inference via the energy of data",
"long_description": "Multivariate inference via the energy of data",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-Rcpp",
"R-gsl"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-CompQuadForm",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-nda",
"R-semidist",
"R-Compositional",
"R-TDAkit",
"R-EDMeasure",
"R-MXM",
"R-itdr",
"R-metrica"
]
},
{
"type": "test",
"ports": [
"R-tourr",
"R-compositions",
"R-correlation"
]
}
]
},
{
"name": "R-enrichR",
"portdir": "R/R-enrichR",
"version": "3.2",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=enrichR",
"description": "R interface to all Enrichr databases",
"long_description": "R interface to all Enrichr databases",
"active": true,
"categories": [
"science",
"www",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-httr",
"R-rjson",
"R-WriteXLS",
"R-CRAN-recommended",
"R-curl",
"R-ggplot2"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-Seurat"
]
}
]
},
{
"name": "R-english",
"portdir": "R/R-english",
"version": "1.2-6",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=english",
"description": "Translate integers into English",
"long_description": "Translate integers into English",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-concom",
"R-tessellation"
]
}
]
},
{
"name": "R-enrichwith",
"portdir": "R/R-enrichwith",
"version": "0.3.1",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=enrichwith",
"description": "Methods to enrich R objects with extra components",
"long_description": "Methods to enrich R objects with extra components",
"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-whisker",
"R-betareg",
"R-brglm",
"R-gnm",
"R-SuppDists",
"R-ggplot2",
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-brglm2",
"R-mbrglm"
]
}
]
},
{
"name": "R-entropy",
"portdir": "R/R-entropy",
"version": "1.3.1",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://strimmerlab.github.io/software/entropy",
"description": "Estimation of entropy, mutual information and related quantities",
"long_description": "Estimation of entropy, mutual information and related quantities",
"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-spooky",
"R-jenga",
"R-naive",
"R-sda",
"R-segen",
"R-binda",
"R-bnclassify",
"R-einet"
]
},
{
"type": "test",
"ports": [
"R-abn",
"R-quanteda.textstats",
"R-FSelectorRcpp",
"R-proxyC"
]
}
]
},
{
"name": "R-eodhd",
"portdir": "R/R-eodhd",
"version": "1.0.4",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/EodHistoricalData/EODHD-APIs-R-Financial-Library",
"description": "R API for EODHD financial library",
"long_description": "R API for EODHD financial library",
"active": true,
"categories": [
"science",
"www",
"finance",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-httr",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": []
},
{
"name": "R-epiR",
"portdir": "R/R-epiR",
"version": "2.0.76",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=epiR",
"description": "Tools for the analysis of epidemiological data",
"long_description": "Tools for the analysis of epidemiological data",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-BiasedUrn",
"R-pander",
"R-sf",
"R-CRAN-recommended",
"R-zoo",
"R-flextable",
"R-officer",
"R-lubridate"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-mapproj",
"R-spatstat",
"R-sp",
"R-plyr",
"R-dplyr",
"R-tidyr",
"R-RColorBrewer",
"R-ggplot2",
"R-knitr",
"R-scales",
"R-rmarkdown",
"R-spData"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-broom",
"R-insight"
]
}
]
},
{
"name": "R-epmrob",
"portdir": "R/R-epmrob",
"version": "0.1",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=epmrob",
"description": "Robust estimation of probit models with endogeneity",
"long_description": "Robust estimation of probit models with endogeneity",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-robustbase",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-mvtnorm"
]
}
],
"depends_on": []
},
{
"name": "R-ergMargins",
"portdir": "R/R-ergMargins",
"version": "1.3",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=ergMargins",
"description": "Process analysis for exponential random graph models",
"long_description": "Process analysis for exponential random graph models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-network",
"R-sna",
"R-ergm",
"R-btergm",
"R-sampling",
"R-CRAN-recommended",
"R-numDeriv",
"R-dplyr"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-Rcpp",
"R-knitr",
"R-rmarkdown",
"R-statnet.common",
"R-ergm.count"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-netmediate"
]
}
]
},
{
"name": "R-ergm",
"portdir": "R/R-ergm",
"version": "4.6.0",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/statnet/ergm",
"description": "Fit, simulate and diagnose exponential-family models for networks",
"long_description": "An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs).",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-coda",
"R-memoise",
"R-stringr",
"R-tibble",
"R-purrr",
"R-knitr",
"R-Rdpack",
"R-robustbase",
"R-statnet.common",
"R-trust",
"R-network",
"R-lpSolveAPI",
"R-rle",
"R-CRAN-recommended",
"R-magrittr",
"R-rlang"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-withr",
"R-testthat",
"R-rmarkdown",
"R-covr",
"R-latticeExtra",
"R-slam",
"R-sna",
"R-Rglpk",
"R-networkLite",
"R-ergm.count"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-BFpack",
"R-Bergm",
"R-latentnet",
"R-netmediate",
"R-statnet",
"R-tergm",
"R-bigergm",
"R-btergm",
"R-ergMargins",
"R-ergm.count",
"R-ergm.multi",
"R-ergm.rank",
"R-ergm.userterms",
"R-ergmgp",
"R-ergmito",
"R-fergm"
]
},
{
"type": "test",
"ports": [
"R-NetMix",
"R-texreg",
"R-broom",
"R-lolog"
]
}
]
},
{
"name": "R-ergm.count",
"portdir": "R/R-ergm.count",
"version": "4.1.2",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/statnet/ergm.count",
"description": "Fit, simulate and diagnose exponential-family models for networks with count edges",
"long_description": "Fit, simulate and diagnose exponential-family models for networks with count edges",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-network",
"R-ergm",
"R-CRAN-recommended",
"R-Rdpack",
"R-statnet.common"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-covr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-statnet"
]
},
{
"type": "test",
"ports": [
"R-ergMargins",
"R-ergm"
]
}
]
},
{
"name": "R-ergm.multi",
"portdir": "R/R-ergm.multi",
"version": "0.2.1",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/statnet/ergm.multi",
"description": "Fit, simulate and diagnose exponential-family models for multiple or multilayer networks",
"long_description": "Fit, simulate and diagnose exponential-family models for multiple or multilayer networks",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-tibble",
"R-purrr",
"R-Rdpack",
"R-statnet.common",
"R-network",
"R-ergm",
"R-rle",
"R-CRAN-recommended",
"R-rlang",
"R-glue"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-dplyr",
"R-generics",
"R-ggplot2",
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-ggrepel"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-bigergm",
"R-tergm"
]
}
]
},
{
"name": "R-ergm.rank",
"portdir": "R/R-ergm.rank",
"version": "4.1.1",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/statnet/ergm.rank",
"description": "Fit, simulate and diagnose exponential-family models for rank-order relational data",
"long_description": "Fit, simulate and diagnose exponential-family models for rank-order relational data",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-network",
"R-CRAN-recommended",
"R-Rdpack",
"R-ergm",
"R-statnet.common"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown",
"R-covr"
]
}
],
"depends_on": []
},
{
"name": "R-ergm.userterms",
"portdir": "R/R-ergm.userterms",
"version": "3.10.0-111",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/statnet/ergm.userterms",
"description": "Template package to demonstrate the use of user-specified statistics for use in ergm models",
"long_description": "Template package to demonstrate the use of user-specified statistics for use in ergm models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-ergm",
"R-statnet.common",
"R-CRAN-recommended",
"R-network"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-ergmgp",
"portdir": "R/R-ergmgp",
"version": "0.1-1",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/statnet/ergmgp",
"description": "Tools for modelling ERGM generating processes",
"long_description": "Tools for modelling ERGM generating processes",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-19",
"R"
]
},
{
"type": "lib",
"ports": [
"R-networkDynamic",
"R-ergm",
"R-statnet.common",
"R-CRAN-recommended",
"R-network"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-ergmito",
"portdir": "R/R-ergmito",
"version": "0.3-1",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://muriteams.github.io/ergmito",
"description": "Exponential random graph models for small networks",
"long_description": "Exponential random graph models for small networks",
"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-texreg",
"R-network",
"R-ergm",
"R-CRAN-recommended",
"libgcc14",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-coda",
"R-knitr",
"R-rmarkdown",
"R-covr",
"R-lmtest",
"R-tinytest",
"R-sna",
"R-fmcmc"
]
}
],
"depends_on": []
},
{
"name": "R-erify",
"portdir": "R/R-erify",
"version": "0.6.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://flujoo.github.io/erify",
"description": "Check arguments and generate readable error messages",
"long_description": "Check arguments and generate readable error messages",
"active": true,
"categories": [
"devel",
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-19"
]
},
{
"type": "lib",
"ports": [
"R-glue",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-rmarkdown",
"R-knitr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-eventPred"
]
}
]
}
]
}