{"count":51965,"next":"https://ports.macports.org/api/v1/ports/?format=json&ordering=name&page=958","previous":"https://ports.macports.org/api/v1/ports/?format=json&ordering=name&page=956","results":[{"name":"R-randomLCA","portdir":"R/R-randomLCA","version":"1.1-4","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=randomLCA","description":"Random effects latent class analysis","long_description":"Random effects latent class analysis","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-foreach","R-doRNG","R-fastGHQuad","R-CRAN-recommended","R-Rfast","R-doParallel"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-R.rsp"]}],"depends_on":[]},{"name":"R-randtests","portdir":"R/R-randtests","version":"1.0.2","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=randtests","description":"Testing randomness in R","long_description":"Provides several non-parametric randomness tests for numeric sequences.","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":[]},{"name":"R-randtoolbox","portdir":"R/R-randtoolbox","version":"2.0.5","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://r-forge.r-project.org/projects/rmetrics","description":"Toolbox for pseudo- and quasirandom number generation and random generator tests","long_description":"Toolbox for pseudo- and quasirandom number generation and random generator tests","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-rngWELL","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-DiceDesign","R-DiceOptim","R-GPM","R-GPareto","R-KrigInv","R-LVGP","R-TAG","R-acebayes","R-apollo","R-cbcTools","R-cooltools","R-copBasic","R-spdesign","R-yager","R-iterLap","R-joineRML","R-kde1d","R-lcmm","R-logitr","R-merlin","R-mixl","R-multinma","R-sfaR"]},{"type":"test","ports":["R-copula","R-qrng"]}]},{"name":"R-RandVar","portdir":"R/R-RandVar","version":"1.2.4","license":"LGPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://robast.r-forge.r-project.org","description":"Implements random variables by means of S4 classes and methods","long_description":"Implements random variables by means of S4 classes and methods","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-distrEx","R-distr","R-CRAN-recommended","R-startupmsg"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-ROptEst","R-RobAStBase","R-RobExtremes","R-RobLox","R-distrMod"]}]},{"name":"R-ranger","portdir":"R/R-ranger","version":"0.17.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"http://imbs-hl.github.io/ranger","description":"Fast implementation of random forests","long_description":"Fast implementation of random forests","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppEigen","R-CRAN-recommended","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-TSCI","R-rfinterval","R-riskRegression","R-collinear","R-stablelearner","R-influential","R-ocf","R-orf","R-Boruta"]},{"type":"test","ports":["R-ingredients","R-lmtp","R-mice","R-mlr3learners","R-mlr3mbo","R-mlr3superlearner","R-modelStudio","R-nestedcv","R-nlpred","R-parsnip","R-spmodel","R-stacks","R-tidyAML","R-varImp","R-vetiver","R-DALEX","R-SSLR","R-batchtools","R-cdgd","R-fastshap","R-finetune","R-fmeffects","R-iBreakDown"]}]},{"name":"R-RankAggreg","portdir":"R/R-RankAggreg","version":"0.6.6","license":"LGPL","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=RankAggreg","description":"Weighted Rank Aggregation","long_description":"Performs aggregation of ordered lists based on the ranks using several different algorithms: Cross-Entropy Monte Carlo algorithm, Genetic algorithm and a brute force algorithm (for small problems).","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-gtools","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-xtable","R-mclust","R-clValid","R-kohonen"]}],"depends_on":[{"type":"lib","ports":["R-diceR"]}]},{"name":"R-RankAggSIgFUR","portdir":"R/R-RankAggSIgFUR","version":"1.0.0","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=RankAggSIgFUR","description":"Polynomially bounded rank aggregation under Kemeny’s axiomatic approach","long_description":"Polynomially bounded rank aggregation under Kemeny’s axiomatic approach","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-plyr","R-combinat","R-CRAN-recommended","R-Rfast","R-data.table"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[]},{"name":"R-rankdist","portdir":"R/R-rankdist","version":"1.1.4","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=rankdist","description":"Distance-based ranking models","long_description":"Distance-based ranking models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-hash","R-optimx","R-CRAN-recommended","R-Rcpp","R-permute"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-PLMIX"]}]},{"name":"R-rankinma","portdir":"R/R-rankinma","version":"0.2.2","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://rankinma.shinyapps.io/rankinma","description":"Ranking in network meta-analysis","long_description":"Ranking in network meta-analysis","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-mvtnorm","R-netmeta"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-RANN","portdir":"R/R-RANN","version":"2.6.2","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://jefferislab.github.io/RANN","description":"Fast nearest neighbour search (wraps ANN library) using L2 metric","long_description":"Fast nearest neighbour search (wraps ANN library) using L2 metric","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-tidySEM","R-LOMAR","R-MetricGraph","R-Rdimtools","R-SSLR","R-Seurat","R-mastif","R-rcccd","R-spNNGP","R-themis","R-EntropyMCMC","R-alphashape3d","R-anticlust","R-celestial","R-kanjistat","R-ldbod","R-lookout","R-maotai"]},{"type":"test","ports":["R-StatMatch","R-spaMM","R-recipes","R-caret","R-nabor"]}]},{"name":"R-rapidjsonr","portdir":"R/R-rapidjsonr","version":"1.2.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=rapidjsonr","description":"Rapidjson C++ headers","long_description":"Rapidjson C++ headers","active":true,"categories":["devel","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-bigrquery","R-jsonify"]}]},{"name":"R-rapidoc","portdir":"R/R-rapidoc","version":"9.3.4","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/meztez/rapidoc","description":"Generate RapiDoc documentation from an OpenAPI specification","long_description":"Generate RapiDoc documentation from an OpenAPI specification","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-jsonlite","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-plumber"]}],"depends_on":[{"type":"lib","ports":["R-vetiver"]}]},{"name":"R-RApiSerialize","portdir":"R/R-RApiSerialize","version":"0.1.4","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://dirk.eddelbuettel.com/code/rapiserialize.html","description":"R API Serialization","long_description":"R API Serialization","active":true,"categories":["devel","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-RcppRedis","R-qs"]}]},{"name":"R-Rapp","portdir":"R/R-Rapp","version":"0.2.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/r-lib/Rapp","description":"Easily build command-line applications","long_description":"Easily build command-line applications","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-yaml","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[]},{"name":"R-rappdirs","portdir":"R/R-rappdirs","version":"0.3.3","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://rappdirs.r-lib.org","description":"Application directories: determine where to save data, caches and logs.","long_description":"Application directories: determine where to save data, caches and logs.","active":true,"categories":["devel","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","R-roxygen2","R-covr","R-withr"]}],"depends_on":[{"type":"lib","ports":["R-AnnotationHub","R-ExperimentHub","R-tsibbledata","R-usethis","R-virtuoso","R-askgpt","R-batchtools","R-biomaRt","R-gargle","R-gmailr","R-graphite","R-httr2","R-jmvconnect","R-keyring","R-measurementProtocol","R-pandoc","R-pins","R-reticulate","R-rhub","R-rpymat","R-sass","R-sqlhelper","R-tesseract","R-thematic"]},{"type":"test","ports":["R-JuliaCall","R-yulab.utils","R-bslib"]}]},{"name":"R-rARPACK","portdir":"R/R-rARPACK","version":"0.11-0","license":"BSD","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=rARPACK","description":"Solvers for large-scale eigenvalue and SVD problems","long_description":"Solvers for large-scale eigenvalue and SVD problems","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-RSpectra","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-BANAM","R-lfda","R-mimi","R-mixOmics","R-ptf","R-statGraph","R-wdnet"]}]},{"name":"R-RaschSampler","portdir":"R/R-RaschSampler","version":"0.8-10","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=RaschSampler","description":"Rasch Sampler","long_description":"MCMC-based sampling of binary matrices with fixed margins as used in exact Rasch model tests.","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"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-rasclass","portdir":"R/R-rasclass","version":"0.2.2","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=rasclass","description":"Supervised raster image classification","long_description":"Supervised raster image classification","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-car","R-RSNNS","R-e1071","R-CRAN-recommended","R-randomForest"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-raster","portdir":"R/R-raster","version":"3.6-30","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://rspatial.org/raster","description":"Geographic data analysis and modelling","long_description":"Geographic data analysis and modelling","active":true,"categories":["science","gis","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-terra","R-Rcpp","R-sp","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-exactextractr","R-rasterVis","R-igraph","R-tinytest","R-ncdf4","R-fields","R-sf","R-gstat"]}],"depends_on":[{"type":"lib","ports":["R-gdistance","R-maxlike","R-GLCMTextures","R-rTensor2","R-rasterVis","R-rwc","R-samc","R-Rlibkdv","R-slippymath","R-cooltools","R-exactextractr","R-leaflet","R-telefit","R-fasterize"]},{"type":"test","ports":["R-Ecfun","R-unmarked","R-FracKrigingR","R-RandomFields","R-geosphere","R-ggfortify","R-gstat","R-imager","R-lpjmlkit","R-magclass","R-palr","R-sf","R-sp","R-spacetime","R-stars"]}]},{"name":"R-rasterize","portdir":"R/R-rasterize","version":"0.1","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/pmur002/rasterize","description":"Rasterize graphical output","long_description":"Rasterize graphical output","active":true,"categories":["graphics","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-png","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-rasterVis","portdir":"R/R-rasterVis","version":"0.51.6","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://oscarperpinan.github.io/rastervis","description":"Visualization methods for Raster data","long_description":"Visualization methods for Raster data","active":true,"categories":["graphics","science","gis","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RColorBrewer","R-viridisLite","R-latticeExtra","R-hexbin","R-raster","R-terra","R-CRAN-recommended","R-sp","R-zoo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-colorspace","R-ggplot2","R-rgl","R-dichromat","R-sf"]}],"depends_on":[{"type":"test","ports":["R-raster"]}]},{"name":"R-Rata","portdir":"R/R-Rata","version":"0.0.2","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Rata","description":"Automated Test Assembly","long_description":"Automated test assembly of linear and adaptive tests using the mixed-integer programming.","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-glpkAPI","R-lpSolveAPI","R-Rirt","R-CRAN-recommended","R-reshape2","R-ggplot2"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-Rmst"]}]},{"name":"R-rater","portdir":"R/R-rater","version":"1.3.1","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://jeffreypullin.github.io/rater","description":"Statistical models of repeated categorical rating data","long_description":"Statistical models of repeated categorical rating data","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppEigen","R-RcppParallel","R-StanHeaders","R-rlang","R-rstantools","R-loo","R-ggplot2","R-rstan","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-coda","R-knitr","R-testthat","R-rmarkdown","R-covr"]}],"depends_on":[]},{"name":"R-ratesci","portdir":"R/R-ratesci","version":"0.4-0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=ratesci","description":"Confidence intervals for comparisons of Binomial or Poisson rates","long_description":"Confidence intervals for comparisons of Binomial or Poisson rates","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-CIfinder"]}]},{"name":"R-RationalExp","portdir":"R/R-RationalExp","version":"0.2.2","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=RationalExp","description":"Test of the rational expectations hypothesis based on the marginal distributions of realizations and subjective beliefs","long_description":"Test of the rational expectations hypothesis based on the marginal distributions of realizations and subjective beliefs","active":true,"categories":["science","R","economics"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-snowfall","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-rmarkdown","R-knitr"]}],"depends_on":[{"type":"lib","ports":["R-RegCombin"]}]},{"name":"R-RationalMatrix","portdir":"R/R-RationalMatrix","version":"1.0.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=RationalMatrix","description":"Exact matrix algebra for matrices with rational entries","long_description":"Exact matrix algebra for matrices with rational entries","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","pkgconfig","R"]},{"type":"lib","ports":["R-RcppEigen","R-gmp","gmp","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-qspray"]}]},{"name":"R-ratioOfQsprays","portdir":"R/R-ratioOfQsprays","version":"1.1.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/stla/ratioOfQsprays","description":"Fractions of multivariate polynomials with rational coefficients","long_description":"Fractions of multivariate polynomials with rational coefficients","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","pkgconfig","R"]},{"type":"lib","ports":["R-Rcpp","R-gmp","R-RcppCGAL","R-Ryacas","R-qspray","R-CRAN-recommended","gmp","mpfr","R-BH"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-jack","R-symbolicQspray"]}]},{"name":"R-rattle","portdir":"R/R-rattle","version":"5.5.2","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://rattle.togaware.com","description":"Graphical User Interface for Data Science in R","long_description":"Graphical User Interface for Data Science in R","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-stringr","R-tibble","R-dplyr","R-tidyr","R-ggplot2","R-magrittr","R-bitops","R-rpart.plot","R-CRAN-recommended","R-XML","R-stringi"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-pmml"]}]},{"name":"R-rayimage","portdir":"R/R-rayimage","version":"0.11.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://www.rayimage.dev","description":"Image processing for simulated cameras","long_description":"Image processing for simulated cameras","active":true,"categories":["graphics","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-jpeg","R-png","R-progress","R-tiff","R-CRAN-recommended","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-magick"]}],"depends_on":[]},{"name":"R-rBayesianOptimization","portdir":"R/R-rBayesianOptimization","version":"1.2.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/yanyachen/rBayesianOptimization","description":"Bayesian optimization of hyperparameters","long_description":"Bayesian optimization of hyperparameters","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-foreach","R-GPfit","R-CRAN-recommended","R-data.table","R-magrittr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-xgboost"]}],"depends_on":[{"type":"lib","ports":["R-EDMeasure","R-audrex"]}]},{"name":"R-rBDAT","portdir":"R/R-rBDAT","version":"1.0.0","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://gitlab.com/vochr/rbdat","description":"Implementation of BDAT tree taper Fortran functions","long_description":"Implementation of BDAT tree taper Fortran functions","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-RUnit","R-knitr","R-pkgload","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-RBE3","portdir":"R/R-RBE3","version":"1.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=RBE3","description":"Estimation and additional tools for quantile generalized Beta regression model","long_description":"Estimation and additional tools for quantile generalized Beta regression model","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-gtools","R-pracma","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-tpn"]}]},{"name":"R-rbenchmark","portdir":"R/R-rbenchmark","version":"1.0.0","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=rbenchmark","description":"Benchmarking routine for R","long_description":"rbenchmark is inspired by the Perl module Benchmark and is intended to facilitate benchmarking of arbitrary R code.","active":true,"categories":["devel","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-FastGP"]},{"type":"test","ports":["R-JacobiEigen","R-PMwR","R-Rcpp","R-RcppZiggurat","R-aoos","R-dat","R-doRNG","R-fourierin","R-glassoFast","R-rucrdtw"]}]},{"name":"R-Rbent","portdir":"R/R-Rbent","version":"0.1.0","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Rbent","description":"Robust bent line regression","long_description":"Robust bent line regression","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Rfit","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-RBesT","portdir":"R/R-RBesT","version":"1.7-4","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://opensource.nibr.com/RBesT","description":"R Bayesian Evidence Synthesis Tools","long_description":"R Bayesian Evidence Synthesis Tools","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppEigen","R-RcppParallel","R-StanHeaders","R-abind","R-assertthat","R-rlang","R-mvtnorm","R-rstantools","R-checkmate","R-dplyr","R-matrixStats","R-ggplot2","R-rstan","R-bayesplot","R-Formula","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-glue","R-purrr","R-tidyr","R-knitr","R-scales","R-testthat","R-brms","R-rmarkdown","R-rstanarm","R-broom","R-ragg","R-foreach"]}],"depends_on":[]},{"name":"R-rBeta2009","portdir":"R/R-rBeta2009","version":"1.0.1","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=rBeta2009","description":"Beta random number and Dirichlet random vector generating functions","long_description":"Beta random number and Dirichlet random vector generating 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"]}],"depends_on":[{"type":"lib","ports":["R-binGroup2"]}]},{"name":"R-RBGL","portdir":"R/R-RBGL","version":"1.80.0","license":"Artistic-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://bioconductor.org/packages/RBGL","description":"Interface to the graph algorithms contained in the Boost library","long_description":"Interface to the graph algorithms contained in the Boost library","active":true,"categories":["devel","science","R","bioconductor"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-graph","R-CRAN-recommended","R-BH"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-Rgraphviz","R-RUnit","R-knitr","R-XML","R-BiocGenerics","R-BiocStyle"]}],"depends_on":[{"type":"lib","ports":["R-pcalg","R-BioNet","R-BiocPkgTools","R-gRbase","R-BiDAG","R-biocViews","R-eff2"]},{"type":"test","ports":["R-KEGGgraph","R-graph"]}]},{"name":"R-rbibutils","portdir":"R/R-rbibutils","version":"2.3","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://geobosh.github.io/rbibutils","description":"Read Bibtex files and convert between bibliography formats","long_description":"Read Bibtex files and convert between bibliography formats","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-Rdpack"]},{"type":"test","ports":["R-doRNG","R-litedown","R-pkgmaker"]}]},{"name":"R-r.blip","portdir":"R/R-r.blip","version":"1.1","license":"LGPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=r.blip","description":"Bayesian network learning improved project","long_description":"Bayesian network learning improved project","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-bnlearn","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-rbmi","portdir":"R/R-rbmi","version":"1.2.6","license":"Apache-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://insightsengineering.github.io/rbmi","description":"Reference-Based Multiple Imputation","long_description":"Implements standard and reference-based multiple imputation methods for continuous longitudinal endpoints.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-Rcpp","R-RcppEigen","R-RcppParallel","R-StanHeaders","R-assertthat","R-rstantools","R-pkgload","R-rstan","R-mmrm","R-CRAN-recommended","R-BH","R-R6"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-mvtnorm","R-tibble","R-dplyr","R-purrr","R-tidyr","R-ggplot2","R-knitr","R-lubridate","R-testthat","R-rmarkdown","R-emmeans","R-R.rsp","R-bookdown"]}],"depends_on":[]},{"name":"R-rbmn","portdir":"R/R-rbmn","version":"0.9-6","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=rbmn","description":"Handling of linear Gaussian Bayesian networks","long_description":"Handling of linear Gaussian Bayesian networks","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-igraph","R-bnlearn"]}],"depends_on":[]},{"name":"R-rbooster","portdir":"R/R-rbooster","version":"1.1.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=rbooster","description":"AdaBoost framework for any classifier","long_description":"AdaBoost framework for any classifier","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-Hmisc","R-earth"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown","R-mlbench","R-imbalance"]}],"depends_on":[]},{"name":"R-Rborist","portdir":"R/R-Rborist","version":"0.3-7","license":"(GPL-2+ or MPL-2)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/suiji/Arborist","description":"Extensible, parallelizable implementation of the random forest algorithm","long_description":"Extensible, parallelizable implementation of the random forest algorithm","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-digest","R-CRAN-recommended","R-Rcpp","R-data.table"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-markdown","R-rmarkdown"]}],"depends_on":[{"type":"lib","ports":["R-mob"]}]},{"name":"R-R.cache","portdir":"R/R-R.cache","version":"0.16.0","license":"(LGPL-2.1 or LGPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/HenrikBengtsson/R.cache","description":"Fast and light-weight caching (memoization) of objects and results to speed up computations.","long_description":"Fast and light-weight caching (memoization) of objects and results to speed up computations.","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-R.oo","R-R.utils","R-digest","R-CRAN-recommended","R-R.methodsS3"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-styler","R-R.filesets","R-R.rsp","R-PSCBS","R-repmis","R-scholar","R-stepR"]},{"type":"test","ports":["R-jointseg"]}]},{"name":"R-Rcapture","portdir":"R/R-Rcapture","version":"1.4-4","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Rcapture","description":"Log-linear models for capture-recapture experiments","long_description":"Log-linear models for capture-recapture experiments","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-SparseMSE"]}]},{"name":"R-rcartocolor","portdir":"R/R-rcartocolor","version":"2.1.1","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=rcartocolor","description":"CARTOColors palettes","long_description":"CARTOColors palettes","active":true,"categories":["graphics","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-ggplot2","R-scales"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-covr","R-vdiffr","R-spData","R-sf"]}],"depends_on":[{"type":"test","ports":["R-colorspace"]}]},{"name":"R-rcccd","portdir":"R/R-rcccd","version":"0.3.2","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=rcccd","description":"Class cover catch digraph classification","long_description":"Class cover catch digraph classification","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-RcppArmadillo","R-Rfast","R-proxy","libgcc","libgcc14","R-CRAN-recommended","R-RANN","R-Rcpp"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-rcdd","portdir":"R/R-rcdd","version":"1.6","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://www.stat.umn.edu/geyer/rcdd","description":"Computational Geometry","long_description":"Computational Geometry","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["gmp","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-CoopGame","R-PLMIX","R-PlaneGeometry","R-blackbox","R-hitandrun","R-kantorovich","R-mvmesh","R-polyhedralCubature"]},{"type":"test","ports":["R-spaMM"]}]},{"name":"R-RCDT","portdir":"R/R-RCDT","version":"1.3.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/stla/RCDT","description":"Fast 2D constrained Delaunay triangulation","long_description":"Performs 2D Delaunay triangulation, constrained or unconstrained, with the help of the C++ library CDT.","active":true,"categories":["science","math","R","geometry"],"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-RcppArmadillo","R-gplots","R-rgl","R-Rvcg","R-Polychrome","R-CRAN-recommended","R-colorsGen","libgcc14","libgcc","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-viridisLite","R-rmarkdown","R-uniformly"]}],"depends_on":[{"type":"lib","ports":["R-gyro"]}]},{"name":"R-Rcereal","portdir":"R/R-Rcereal","version":"1.3.2","license":"BSD","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/wush978/Rcereal","description":"C++11 header files for Cereal","long_description":"C++11 header files for Cereal","active":true,"categories":["devel","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-cpp11","R-knitr","R-testthat","R-rmarkdown","R-httr","R-decor","R-git2r","R-Rcpp"]}],"depends_on":[{"type":"lib","ports":["R-literanger","R-outliertree"]}]}]}