HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 50724,
"next": "https://ports.macports.org/api/v1/ports/?format=api&ordering=name&page=920",
"previous": "https://ports.macports.org/api/v1/ports/?format=api&ordering=name&page=918",
"results": [
{
"name": "R-mvinfluence",
"portdir": "R/R-mvinfluence",
"version": "0.9.0",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/friendly/mvinfluence",
"description": "Influence measures and diagnostic plots for multivariate linear models",
"long_description": "Influence measures and diagnostic plots for multivariate linear models",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-heplots",
"R-car"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-patchwork",
"R-rgl",
"R-tibble",
"R-dplyr",
"R-ggplot2",
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-heplots"
]
}
]
},
{
"name": "R-MVLM",
"portdir": "R/R-MVLM",
"version": "0.1.4",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MVLM",
"description": "Multivariate linear model with analytic p-values",
"long_description": "Multivariate linear model with analytic p-values",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CompQuadForm",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-rmarkdown",
"R-knitr"
]
}
],
"depends_on": []
},
{
"name": "R-mvmesh",
"portdir": "R/R-mvmesh",
"version": "1.6",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=mvmesh",
"description": "Multivariate meshes and histograms in arbitrary dimensions",
"long_description": "Multivariate meshes and histograms in arbitrary dimensions",
"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-geometry",
"R-SimplicialCubature",
"R-abind",
"R-CRAN-recommended",
"R-rcdd",
"R-rgl"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-gensphere",
"R-SphericalCubature"
]
}
]
},
{
"name": "R-mvmeta",
"portdir": "R/R-mvmeta",
"version": "1.0.3",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=mvmeta",
"description": "Multivariate and univariate meta-analysis and meta-regression",
"long_description": "Multivariate and univariate meta-analysis and meta-regression",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-mixmeta",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-metafor",
"R-meta",
"R-rmeta",
"R-dlnm"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-xmeta"
]
}
]
},
{
"name": "R-mvnfast",
"portdir": "R/R-mvnfast",
"version": "0.2.8",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=mvnfast",
"description": "Fast multivariate Normal and Student t methods",
"long_description": "Fast multivariate Normal and Student t methods",
"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-RcppArmadillo",
"R-CRAN-recommended",
"libgcc",
"R-BH",
"R-Rcpp"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-mvtnorm",
"R-plyr",
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-microbenchmark",
"R-RhpcBLASctl"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-BBSSL",
"R-MGMM",
"R-gmvarkit",
"R-bltm",
"R-BGGM",
"R-sparseCov",
"R-bartBMA",
"R-gratia",
"R-gasmodel",
"R-mvgam"
]
},
{
"type": "test",
"ports": [
"R-RMSS",
"R-robStepSplitReg",
"R-fabricatr",
"R-srlars"
]
}
]
},
{
"name": "R-mvnmle",
"portdir": "R/R-mvnmle",
"version": "0.1-11.2",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/indenkun/mvnmle",
"description": "ML estimation for multivariate normal data with missing values",
"long_description": "ML estimation for multivariate normal data with missing values",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-misty"
]
}
]
},
{
"name": "R-mvnormtest",
"portdir": "R/R-mvnormtest",
"version": "0.1-9-3",
"license": "GPL",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=mvnormtest",
"description": "Normality test for multivariate variables",
"long_description": "Generalization of Shapiro–Wilk test for multivariate variables.",
"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-jmv"
]
},
{
"type": "test",
"ports": [
"R-copula"
]
}
]
},
{
"name": "R-mvord",
"portdir": "R/R-mvord",
"version": "1.2.5",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/lauravana/mvord",
"description": "Multivariate Ordinal regression models",
"long_description": "Multivariate Ordinal regression 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-mvtnorm",
"R-numDeriv",
"R-pbivnorm",
"R-ucminf",
"R-dfoptim",
"R-BB",
"R-optimx",
"libgcc13",
"R-CRAN-recommended",
"libgcc",
"R-minqa",
"R-mnormt"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-xtable",
"R-colorspace",
"R-knitr",
"R-rmarkdown",
"R-VGAM",
"R-LMest"
]
}
],
"depends_on": []
},
{
"name": "R-mvoutlier",
"portdir": "R/R-mvoutlier",
"version": "2.1.1",
"license": "GPL-3+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=mvoutlier",
"description": "Multivariate outlier detection",
"long_description": "Multivariate outlier detection based on robust methods.",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-robustbase",
"R-CRAN-recommended",
"R-sgeostat"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-cluster"
]
}
]
},
{
"name": "R-mvp",
"portdir": "R/R-mvp",
"version": "1.0-14",
"license": "(GPL-2 or GPL-3)",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/RobinHankin/mvp",
"description": "Fast symbolic multivariate polynomials",
"long_description": "Fast symbolic multivariate polynomials",
"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-digest",
"R-magic",
"R-numbers",
"R-partitions",
"R-disordR",
"R-mpoly",
"R-CRAN-recommended",
"R-Rcpp",
"R-magrittr"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-microbenchmark",
"R-spray"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-jack"
]
},
{
"type": "test",
"ports": [
"R-disordR"
]
}
]
},
{
"name": "R-mvpd",
"portdir": "R/R-mvpd",
"version": "0.0.4",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/swihart/mvpd",
"description": "Multivariate product distributions for elliptically-contoured distributions",
"long_description": "Multivariate product distributions for elliptically-contoured 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-matrixStats",
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-cubature",
"R-libstable4u",
"R-CRAN-recommended",
"R-stabledist",
"R-mvtnorm"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-mvProbit",
"portdir": "R/R-mvProbit",
"version": "0.1-10",
"license": "(GPL-2 or GPL-3)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=mvProbit",
"description": "Multivariate probit models",
"long_description": "Tools for estimating multivariate probit models, calculating conditional and unconditional expectations, and calculating marginal effects on conditional and unconditional expectations.",
"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-mvtnorm",
"R-miscTools",
"R-abind",
"R-CRAN-recommended",
"R-maxLik",
"R-bayesm"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-mvQuad",
"portdir": "R/R-mvQuad",
"version": "1.0-8",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=mvQuad",
"description": "Methods for multivariate quadrature",
"long_description": "Methods for multivariate quadrature",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-data.table",
"R-statmod"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown",
"R-rgl"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-bisque",
"R-aghq",
"R-AssetCorr"
]
}
]
},
{
"name": "R-mvrsquared",
"portdir": "R/R-mvrsquared",
"version": "0.1.5",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/TommyJones/mvrsquared",
"description": "Compute the coefficient of determination for vector or matrix outcomes",
"long_description": "Compute the coefficient of determination for vector or matrix outcomes",
"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-RcppProgress",
"R-RcppThread",
"R-CRAN-recommended",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-stringr",
"R-dplyr",
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-furrr",
"R-spelling",
"R-tidytext",
"R-textmineR"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-tidylda"
]
}
]
},
{
"name": "R-mvst",
"portdir": "R/R-mvst",
"version": "1.1.1",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=mvst",
"description": "Bayesian inference for the multivariate skew-t model",
"long_description": "Bayesian inference for the multivariate skew-t model",
"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-mvtnorm",
"R-MCMCpack",
"gsl",
"R-CRAN-recommended",
"R-mnormt"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-mvtnorm",
"portdir": "R/R-mvtnorm",
"version": "1.3-2",
"license": "GPL-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "http://mvtnorm.R-forge.R-project.org",
"description": "Multivariate Normal and t distributions",
"long_description": "Multivariate Normal and t distributions",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [
"clang10",
"clang11",
"clang12",
"clang13",
"clang14",
"clang15",
"clang16",
"clang50",
"clang60",
"clang70",
"clang80",
"clang90",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"gcc13",
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"libgcc",
"libgcc13",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-numDeriv",
"R-qrng"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-mratios",
"R-mc2d",
"R-BayesFactor",
"R-BayesRGMM",
"R-flexsurv",
"R-BayesianTools",
"R-party",
"R-CDM",
"R-ClusVis",
"R-bindata",
"R-CovTools",
"R-copula",
"R-logcondiscr",
"R-ks",
"R-rankinma",
"R-segMGarch",
"R-plsmmLasso",
"R-partykit",
"R-ic.infer",
"R-ino",
"R-intamap",
"R-isni",
"R-RNGforGPD",
"R-Rdrw",
"R-dirichletprocess",
"R-SSsimple",
"R-SimComp",
"R-TFisher",
"R-TaylorRussell",
"R-VARshrink",
"R-mashr",
"R-kerDAA",
"R-spBFA",
"R-RBesT",
"R-lessSEM",
"R-metaBMA",
"R-pcFactorStan",
"R-thurstonianIRT",
"R-spikeSlabGAM",
"R-hhsmm",
"R-emulator",
"R-agfh",
"R-alphastable",
"R-bayesammi",
"R-telefit",
"R-tmvtnorm",
"R-wbsts",
"R-womblR",
"R-yuima",
"R-FFP",
"R-FuzzyClass",
"R-VARDetect",
"R-regtools",
"R-AssetCorr",
"R-tf",
"R-GenOrd",
"R-timeROC",
"R-lg",
"R-tmle3",
"R-HMMcopula",
"R-ICS",
"R-ICSOutlier",
"R-KrigInv",
"R-LINselect",
"R-BACprior",
"R-BMTAR",
"R-BVAR",
"R-BayesTools",
"R-Bayesiantreg",
"R-Bergm",
"R-glmm",
"R-monomvn",
"R-circular",
"R-glmmPen",
"R-nonnest2",
"R-telescope",
"R-distrEllipse",
"R-PMCMRplus",
"R-norMmix",
"R-mvord",
"R-bayesianVARs",
"R-Ecfun",
"R-eventPred",
"R-gsynth",
"R-voi",
"R-snem",
"R-PoissonMultinomial",
"R-pomp",
"R-restriktor",
"R-CorrBin",
"R-bamlss",
"R-BANAM",
"R-Bolstad",
"R-lpcde",
"R-lrgs",
"R-BFpack",
"R-FAmle",
"R-MARSS",
"R-MBSP",
"R-MCCM",
"R-MCPAN",
"R-MLEce",
"R-FastGP",
"R-MixGHD",
"R-MixSemiRob",
"R-statGraph",
"R-ICSClust",
"R-ICSNP",
"R-ICtest",
"R-LongMemoryTS",
"R-NegBinBetaBinreg",
"R-MIRES",
"R-MTS",
"R-MedianaDesigner",
"R-MomTrunc",
"R-bayesmeta",
"R-hmer",
"R-QRM",
"R-RGMM",
"R-matrixNormal",
"R-RcppCensSpatial",
"R-mdhglm",
"R-FLORAL",
"R-VineCopula",
"R-ctsem",
"R-deepgp",
"R-RprobitB",
"R-pcaPP",
"R-rrcov",
"R-mediation",
"R-merTools",
"R-miWQS",
"R-miscFuncs",
"R-missMDA",
"R-PRSPGx",
"R-mixSPE",
"R-mixsmsn",
"R-StempCens",
"R-fMultivar",
"R-fic",
"R-ZVCV",
"R-mlVAR",
"R-anMC",
"R-bbmle",
"R-bgmm",
"R-freqdom",
"R-fungible",
"R-bayesGARCH",
"R-bayescopulareg",
"R-DescTools",
"R-mutoss",
"R-mvProbit",
"R-mvpd",
"R-lawstat",
"R-BCDAG",
"R-nlsem",
"R-nparcomp",
"R-otrimle",
"R-bpgmm",
"R-pamm",
"R-pammtools",
"R-rstpm2",
"R-clinfun",
"R-coin",
"R-umx",
"R-crawl",
"R-gorica",
"R-dawai",
"R-graphsim",
"R-multcomp",
"R-LMest",
"R-eBsc",
"R-ui",
"R-fdasrvf",
"R-boral",
"R-bpp",
"R-bridgesampling",
"R-polycor",
"R-rjmcmc",
"R-fabMix",
"R-robustsae",
"R-rospca",
"R-apollo",
"R-msm",
"R-psborrow",
"R-quantdr",
"R-calibrator",
"R-carfima",
"R-caper",
"R-joineRML",
"R-REndo",
"R-BayesMultiMode",
"R-tramME",
"R-graphicalVAR",
"R-gsDesign2",
"R-vccp",
"R-hdpGLM",
"R-RoBMA",
"R-gppm",
"R-simpleMH",
"R-imbalance",
"R-gratis",
"R-iprior",
"R-simtrial",
"R-emmeans",
"R-condMVNorm",
"R-conogive",
"R-rwc",
"R-latentnet",
"R-lavaSearch2",
"R-lcmm",
"R-libcoin",
"R-mHMMbayes",
"R-maxstat",
"R-mets",
"R-mhsmm",
"R-BayesVarSel",
"R-LaMa",
"R-mlt",
"R-mBvs",
"R-mvst",
"R-sdmTMB",
"R-tram",
"R-sampleSelection",
"R-sasLM",
"R-sdPrior",
"R-mombf",
"R-multinomialLogitMix",
"R-nhm",
"R-nlmm",
"R-skewMLRM",
"R-skewlmm",
"R-palm",
"R-sparsediscrim",
"R-sparsevar",
"R-spatialprobit",
"R-sphet",
"R-phyr",
"R-CenBAR",
"R-ConfZIC",
"R-csn",
"R-predtools",
"R-projpred",
"R-stableGR",
"R-sgee",
"R-remaCor",
"R-lrstat",
"R-sts",
"R-riskRegression",
"R-robustBLME",
"R-rpf"
]
},
{
"type": "test",
"ports": [
"R-lognorm",
"R-mev",
"R-DepthProc",
"R-epmrob",
"R-robustvarComp",
"R-acopula",
"R-frab",
"R-stochvol",
"R-mcglm",
"R-RandomFields",
"R-sBIC",
"R-BNSP",
"R-CondCopulas",
"R-qfratio",
"R-GeneralizedWendland",
"R-GPFDA",
"R-strucchange",
"R-ipred",
"R-docopulae",
"R-dqrng",
"R-tramnet",
"R-colorspace",
"R-gsDesign",
"R-LMMstar",
"R-tlrmvnmvt",
"R-distributional",
"R-fabletools",
"R-OwenQ",
"R-mixAK",
"R-kyotil",
"R-pcalg",
"R-mmcif",
"R-strucchangeRcpp",
"R-rockchalk",
"R-RcppNumerical",
"R-TruncatedNormal",
"R-mvnfast",
"R-fastcpd",
"R-SparseGrid",
"R-starnet",
"R-polyCub",
"R-ecp",
"R-FNN",
"R-gamreg",
"R-sparseMVN",
"R-robustHD",
"R-ccaPP",
"R-geostatsp",
"R-magi",
"R-ggdist",
"R-sirt",
"R-car",
"R-fCopulae",
"R-gmm",
"R-thames",
"R-WPKDE",
"R-cornet",
"R-fmcmc",
"R-sparseLTSEigen",
"R-fpc",
"R-modeest",
"R-vcd",
"R-tclust",
"R-probout",
"R-rbmi",
"R-pscl",
"R-prabclus",
"R-sphunif",
"R-RcmdrPlugin.EZR",
"R-cubature",
"R-elliptic",
"R-densratio",
"R-OpenMx",
"R-rr2",
"R-bigutilsr",
"R-transreg",
"R-MCMCglmm",
"R-coxme",
"R-cotram",
"R-laGP",
"R-hpa"
]
}
]
},
{
"name": "R-MXM",
"portdir": "R/R-MXM",
"version": "1.5.5",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=MXM",
"description": "Feature selection and Bayesian networks",
"long_description": "Feature selection and Bayesian networks",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-ordinal",
"R-dplyr",
"R-knitr",
"R-lme4",
"R-Hmisc",
"R-doParallel",
"R-foreach",
"R-quantreg",
"R-visNetwork",
"R-geepack",
"R-coxme",
"R-relations",
"R-energy",
"R-bigmemory",
"R-CRAN-recommended",
"R-Rfast",
"R-Rfast2"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-markdown",
"R-R.rsp"
]
}
],
"depends_on": []
},
{
"name": "R-mxsem",
"portdir": "R/R-mxsem",
"version": "0.1.0",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://jhorzek.github.io/mxsem",
"description": "R-lavaan-like syntax for R-OpenMx models",
"long_description": "R-lavaan-like syntax for R-OpenMx models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-dplyr",
"R-OpenMx",
"R-CRAN-recommended",
"R-Rcpp"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-mycor",
"portdir": "R/R-mycor",
"version": "0.1.1",
"license": "public-domain",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=mycor",
"description": "Automatic correlation and regression test in a data.frame",
"long_description": "Automatic correlation and regression test in a data.frame",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-ggiraphExtra"
]
}
]
},
{
"name": "R-n1qn1",
"portdir": "R/R-n1qn1",
"version": "6.0.1-12",
"license": "CeCILL-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=n1qn1",
"description": "Port of the Scilab n1qn1 module for unconstrained BFGS optimization",
"long_description": "Port of the Scilab n1qn1 module for unconstrained BFGS optimization",
"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": [
"libgcc13",
"R-CRAN-recommended",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-covr"
]
}
],
"depends_on": []
},
{
"name": "R-nabor",
"portdir": "R/R-nabor",
"version": "0.5.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/jefferis/nabor",
"description": "R package wrapping libnabo: fast k nearest neighbor search for low dimensions",
"long_description": "R package wrapping libnabo: fast k nearest neighbor search for low dimensions",
"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-Rcpp",
"R-RcppEigen",
"R-CRAN-recommended",
"R-BH"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-RANN",
"R-testthat"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-bigutilsr"
]
}
]
},
{
"name": "R-nadiv",
"portdir": "R/R-nadiv",
"version": "2.18.0",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/matthewwolak/nadiv",
"description": "(Non)additive genetic relatedness matrices",
"long_description": "(Non)additive genetic relatedness matrices",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-MCMCglmm"
]
}
],
"depends_on": []
},
{
"name": "R-naive",
"portdir": "R/R-naive",
"version": "1.2.3",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=naive",
"description": "Empirical extrapolation of time feature patterns",
"long_description": "Empirical extrapolation of time feature patterns",
"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-moments",
"R-purrr",
"R-ggplot2",
"R-lubridate",
"R-scales",
"R-readr",
"R-imputeTS",
"R-Rfast",
"R-greybox",
"R-fastDummies",
"R-fANCOVA",
"R-philentropy",
"R-tictoc",
"R-CRAN-recommended",
"R-modeest",
"R-entropy"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-naivebayes",
"portdir": "R/R-naivebayes",
"version": "1.0.0",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://majkamichal.github.io/naivebayes",
"description": "High-performance implementation of the Naïve Bayes algorithm",
"long_description": "High-performance implementation of the Naïve Bayes algorithm",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-discrim"
]
}
]
},
{
"name": "R-nakagami",
"portdir": "R/R-nakagami",
"version": "1.1.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=nakagami",
"description": "Functions for the Nakagami distribution",
"long_description": "Density, distribution function, quantile function and random generation for the Nakagami distribution.",
"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-assertthat",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-covr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-univariateML"
]
}
]
},
{
"name": "R-nanoarrow",
"portdir": "R/R-nanoarrow",
"version": "0.6.0",
"license": "Apache-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/apache/arrow-nanoarrow",
"description": "Interface to the nanoarrow C library",
"long_description": "Interface to the nanoarrow C library",
"active": true,
"categories": [
"devel",
"science",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-rlang",
"R-vctrs",
"R-blob",
"R-tibble",
"R-withr",
"R-hms",
"R-testthat",
"R-arrow",
"R-bit64"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-adbcdrivermanager",
"R-DBItest",
"R-tiledb",
"R-adbi"
]
},
{
"type": "test",
"ports": [
"R-adbcsqlite",
"R-adbcpostgresql",
"R-sf"
]
}
]
},
{
"name": "R-nanonext",
"portdir": "R/R-nanonext",
"version": "1.4.0",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://shikokuchuo.net/nanonext",
"description": "NNG (Nanomsg Next Gen) lightweight messaging library",
"long_description": "NNG (Nanomsg Next Gen) lightweight messaging library",
"active": true,
"categories": [
"devel",
"science",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"cmake",
"pkgconfig",
"R",
"clang-16",
"xz"
]
},
{
"type": "lib",
"ports": [
"mbedtls3",
"nng",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-later",
"R-promises",
"R-litedown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-mirai.promises",
"R-mirai",
"R-ichimoku",
"R-crew"
]
},
{
"type": "test",
"ports": [
"R-targets",
"R-later"
]
}
]
},
{
"name": "R-nanotime",
"portdir": "R/R-nanotime",
"version": "0.3.10",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://dirk.eddelbuettel.com/code/nanotime.html",
"description": "Nanosecond-resolution time support for R",
"long_description": "Nanosecond-resolution time support for R",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-bit64",
"R-zoo",
"R-RcppDate",
"R-CRAN-recommended",
"R-Rcpp",
"R-RcppCCTZ"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-data.table",
"R-xts",
"R-tinytest"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-dtts",
"R-tiledb"
]
},
{
"type": "test",
"ports": [
"R-pillar",
"R-tsibble",
"R-RcppInt64",
"R-fst"
]
}
]
},
{
"name": "R-nardl",
"portdir": "R/R-nardl",
"version": "0.1.6",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=nardl",
"description": "Non-linear cointegrating autoregressive distributed lag model",
"long_description": "Non-linear cointegrating autoregressive distributed lag model",
"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-tseries",
"R-car",
"R-strucchange",
"R-CRAN-recommended",
"R-gtools",
"R-Formula"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-dLagM",
"R-ardl.nardl"
]
}
]
},
{
"name": "R-narray",
"portdir": "R/R-narray",
"version": "0.5.1",
"license": "Apache-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/mschubert/narray",
"description": "Subset- and name-aware array utility functions",
"long_description": "Subset- and name-aware array utility functions",
"active": true,
"categories": [
"devel",
"science",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-progress",
"R-CRAN-recommended",
"R-Rcpp",
"R-stringr"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-clustermq",
"R-segen",
"R-jenga",
"R-dymo",
"R-audrex"
]
}
]
},
{
"name": "R-NbClust",
"portdir": "R/R-NbClust",
"version": "3.0.1",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=NbClust",
"description": "Determining the best number of clusters in a data set",
"long_description": "Determining the best number of clusters in a data set",
"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-see"
]
}
]
},
{
"name": "R-nbfar",
"portdir": "R/R-nbfar",
"version": "0.1",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=nbfar",
"description": "Negative binomial factor regression models",
"long_description": "Negative binomial factor regression models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [
"clang10",
"clang11",
"clang12",
"clang13",
"clang14",
"clang15",
"clang16",
"clang50",
"clang60",
"clang70",
"clang80",
"clang90",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gccdevel",
"gfortran"
],
"dependencies": [
{
"type": "build",
"ports": [
"gcc13",
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-RcppParallel",
"R-magrittr",
"R-glmnet",
"R-rrpack",
"R-mpath",
"R-CRAN-recommended",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-markdown",
"R-spelling"
]
}
],
"depends_on": []
},
{
"name": "R-NBtsVarSel",
"portdir": "R/R-NBtsVarSel",
"version": "1.0",
"license": "GPL-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=NBtsVarSel",
"description": "Variable selection in a specific regression time series of counts",
"long_description": "Variable selection in a specific regression time series of counts",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-mpath",
"R-CRAN-recommended",
"R-ggplot2",
"R-glmnet"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-markdown",
"R-formatR"
]
}
],
"depends_on": []
},
{
"name": "R-nc",
"portdir": "R/R-nc",
"version": "2024.9.20",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/tdhock/nc",
"description": "Named capture to data tables",
"long_description": "Named capture to data tables",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended",
"R-data.table"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-markdown",
"R-rmarkdown",
"R-covr",
"R-R.utils",
"R-cdata",
"R-re2",
"R-arrow",
"R-stringi",
"R-reshape2",
"R-tidyr",
"R-ggplot2"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-atime",
"R-mlr3resampling"
]
}
]
},
{
"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-ncdf4",
"portdir": "R/R-ncdf4",
"version": "1.23",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cirrus.ucsd.edu/~pierce/ncdf",
"description": "Interface to unidata netCDF (v. 4 or earlier) data files",
"long_description": "Interface to unidata netCDF (v. 4 or earlier) data files",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"netcdf",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-cubble",
"R-easyNCDF"
]
},
{
"type": "test",
"ports": [
"R-ncdfgeom",
"R-exactextractr",
"R-terra",
"R-CFtime",
"R-magclass",
"R-raster",
"R-metR"
]
}
]
},
{
"name": "R-ncdfgeom",
"portdir": "R/R-ncdfgeom",
"version": "1.1.6",
"license": "public-domain",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://code.usgs.gov/water/ncdfgeom",
"description": "NetCDF geometry and time series",
"long_description": "NetCDF geometry and time series",
"active": true,
"categories": [
"science",
"R",
"geometry"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-sf",
"R-ncmeta",
"R-stars",
"R-CRAN-recommended",
"R-areal",
"R-dplyr",
"R-RNetCDF"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-jsonlite",
"R-zip",
"R-knitr",
"R-testthat",
"R-rmarkdown",
"R-pkgdown",
"R-ncdf4"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-stars"
]
}
]
},
{
"name": "R-nCDunnett",
"portdir": "R/R-nCDunnett",
"version": "1.1.0",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=nCDunnett",
"description": "Noncentral Dunnettʼs test distribution",
"long_description": "Noncentral Dunnettʼs test distribution",
"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-fitteR"
]
}
]
},
{
"name": "R-ncmeta",
"portdir": "R/R-ncmeta",
"version": "0.4.0",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://hypertidy.github.io/ncmeta",
"description": "Straightforward NetCDF metadata",
"long_description": "Straightforward NetCDF metadata",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-dplyr",
"R-tidyr",
"R-RNetCDF",
"R-CRAN-recommended",
"R-CFtime",
"R-rlang",
"R-tibble"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-testthat",
"R-covr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-ncdfgeom"
]
},
{
"type": "test",
"ports": [
"R-stars",
"R-sftime"
]
}
]
},
{
"name": "R-nCopula",
"portdir": "R/R-nCopula",
"version": "0.1.1",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=nCopula",
"description": "Hierarchical archimedean copulas constructed with multivariate compound distributions",
"long_description": "Construct and manipulate hierarchical Archimedean copulas with multivariate compound distributions.",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-Deriv",
"R-CRAN-recommended",
"R-stringi",
"R-copula",
"R-stringr"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-ncpen",
"portdir": "R/R-ncpen",
"version": "1.0.0",
"license": "GPL-3+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=ncpen",
"description": "Unified algorithm for non-convex penalized estimation for generalized linear models",
"long_description": "An efficient unified nonconvex penalized estimation algorithm for Gaussian (linear), binomial logit (logistic), Poisson, multinomial logit and Cox proportional hazard regression models. The unified algorithm is implemented based on the convex concave procedure and the algorithm can be applied to most of the existing nonconvex penalties. The algorithm also supports convex penalty – least absolute shrinkage and selection operator (LASSO).",
"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-CRAN-recommended",
"libgcc",
"R-Rcpp",
"R-RcppArmadillo"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-ncvreg",
"portdir": "R/R-ncvreg",
"version": "3.14.3",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pbreheny.github.io/ncvreg",
"description": "Regularization paths for SCAD and MCP penalized regression models",
"long_description": "Regularization paths for SCAD and MCP penalized regression models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-rmarkdown",
"R-ashr",
"R-tinytest",
"R-knitr"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-fastTS",
"R-NHMSAR",
"R-sparseR",
"R-simode",
"R-mombf",
"R-sparsevar",
"R-HIMA",
"R-SIS",
"R-glmmPen"
]
}
]
},
{
"name": "R-nda",
"portdir": "R/R-nda",
"version": "0.1.13",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=nda",
"description": "Generalized network-based dimensionality reduction and analysis",
"long_description": "Generalized network-based dimensionality reduction and analysis",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-visNetwork",
"R-ppcor",
"R-igraph",
"R-CRAN-recommended",
"R-energy",
"R-psych"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-ndjson",
"portdir": "R/R-ndjson",
"version": "0.9.0",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=ndjson",
"description": "Wicked-fast streaming JSON reader",
"long_description": "Wicked-fast streaming JSON reader",
"active": true,
"categories": [
"devel",
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-data.table",
"R-CRAN-recommended",
"zlib",
"R-tibble",
"R-Rcpp"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-covr",
"R-tinytest"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"R-streamR"
]
}
]
},
{
"name": "R-nebula",
"portdir": "R/R-nebula",
"version": "1.5.3",
"license": "GPL-3",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/lhe17/nebula",
"description": "Negative binomial mixed models using large-sample approximation for differential expression analysis of ScRNA-Seq data",
"long_description": "Negative binomial mixed models using large-sample approximation for differential expression analysis of ScRNA-Seq data",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-Rfast",
"R-future",
"R-nloptr",
"R-parallelly",
"R-foreach",
"R-doRNG",
"R-trust",
"R-doFuture",
"R-CRAN-recommended",
"R-SingleCellExperiment",
"R-Seurat",
"R-Rcpp",
"R-RcppEigen"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-rmarkdown"
]
}
],
"depends_on": []
},
{
"name": "R-NegBinBetaBinreg",
"portdir": "R/R-NegBinBetaBinreg",
"version": "1.0",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=NegBinBetaBinreg",
"description": "Negative Binomial and Beta-binomial Bayesian regression models",
"long_description": "Negative Binomial and Beta-binomial Bayesian regression models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-mvtnorm",
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
}
],
"depends_on": []
},
{
"name": "R-neighbr",
"portdir": "R/R-neighbr",
"version": "1.0.3",
"license": "GPL-2.1+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=neighbr",
"description": "Classification, regression, clustering with k-nearest neighbors",
"long_description": "Classification, regression, clustering with k-nearest neighbors",
"active": true,
"categories": [
"science",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"R",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"R-CRAN-recommended"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-mlbench",
"R-knitr",
"R-testthat",
"R-rmarkdown"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-pmml"
]
}
]
},
{
"name": "R-neojags",
"portdir": "R/R-neojags",
"version": "0.1.5",
"license": "GPL-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://cran.r-project.org/package=neojags",
"description": "Neo-normal distributions family for Markov Chain Monte Carlo (MCMC) models in JAGS",
"long_description": "Neo-normal distributions family for Markov Chain Monte Carlo (MCMC) models in JAGS",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [
{
"name": "vital.had",
"github": "barracuda156",
"ports_count": 2571
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"pkgconfig",
"R"
]
},
{
"type": "lib",
"ports": [
"R-rjags",
"R-CRAN-recommended",
"jags",
"R-coda",
"R-runjags"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-knitr",
"R-testthat",
"R-markdown",
"R-rmarkdown",
"R-spelling"
]
}
],
"depends_on": []
},
{
"name": "R-nestedcv",
"portdir": "R/R-nestedcv",
"version": "0.7.12",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/myles-lewis/nestedcv",
"description": "Nested cross-validation with R-glmnet and R-caret",
"long_description": "Nested cross-validation with R-glmnet and R-caret",
"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-matrixStats",
"R-ggplot2",
"R-doParallel",
"R-foreach",
"R-pROC",
"R-caret",
"R-glmnet",
"R-RhpcBLASctl",
"R-matrixTests",
"R-ROCR",
"R-CRAN-recommended",
"R-Rfast",
"R-rlang",
"R-data.table"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-Boruta",
"R-RcppEigen",
"R-knitr",
"R-rmarkdown",
"R-randomForest",
"R-pbapply",
"R-ranger",
"R-gbm",
"R-mlbench",
"R-hsstan",
"R-ggbeeswarm",
"R-ggpubr",
"R-pls",
"R-SuperLearner",
"R-mda",
"R-fastshap",
"R-CORElearn"
]
}
],
"depends_on": []
},
{
"name": "R-nestedLogit",
"portdir": "R/R-nestedLogit",
"version": "0.3.2",
"license": "GPL-2+",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://friendly.github.io/nestedLogit",
"description": "Nested dichotomy logistic regression models",
"long_description": "Nested dichotomy logistic regression models",
"active": true,
"categories": [
"science",
"math",
"R"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"R"
]
},
{
"type": "lib",
"ports": [
"R-effects",
"R-CRAN-recommended",
"R-stringr",
"R-car",
"R-broom",
"R-tibble",
"R-dplyr"
]
},
{
"type": "run",
"ports": [
"R"
]
},
{
"type": "test",
"ports": [
"R-spelling",
"R-carData",
"R-geomtextpath",
"R-here",
"R-tidyr",
"R-ggplot2",
"R-knitr",
"R-scales",
"R-testthat",
"R-rmarkdown",
"R-ggeffects",
"R-lobstr"
]
}
],
"depends_on": [
{
"type": "test",
"ports": [
"R-ggeffects",
"R-insight",
"R-performance"
]
}
]
}
]
}