{"count":52208,"next":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-updated_at&page=810","previous":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-updated_at&page=808","results":[{"name":"R-bindata","portdir":"R/R-bindata","version":"0.9-21","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bindata","description":"Generation of artificial binary data","long_description":"Generation of artificial binary data","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-e1071","R-mvtnorm","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-fastcmh"]},{"type":"test","ports":["R-bigsnpr"]}]},{"name":"R-binda","portdir":"R/R-binda","version":"1.0.4","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://strimmerlab.github.io/software/binda","description":"Multi-class discriminant analysis using binary predictors","long_description":"Multi-class discriminant analysis using binary predictors","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-entropy","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-crossval"]}],"depends_on":[{"type":"test","ports":["R-crossval"]}]},{"name":"R-binGroup2","portdir":"R/R-binGroup2","version":"1.3.1","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=binGroup2","description":"Identification and estimation using group testing","long_description":"Identification and estimation using group testing","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-ggplot2","R-scales","R-Rdpack","R-partitions","R-rBeta2009","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-binGroup","portdir":"R/R-binGroup","version":"2.2-1","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=binGroup","description":"Evaluation and experimental design for binomial group testing","long_description":"Evaluation and experimental design for binomial group testing","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Rdpack","R-partitions","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-broom"]}]},{"name":"R-bimets","portdir":"R/R-bimets","version":"4.0.2","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/andrea-luciani/bimets","description":"Time series and econometric modelling","long_description":"Time series and econometric modelling","active":true,"categories":["science","R","economics"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-xts","R-zoo","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-bigutilsr","portdir":"R/R-bigutilsr","version":"0.3.4","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://privefl.github.io/bigutilsr","description":"Utility functions for large-scale data","long_description":"Utility functions for large-scale data","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RSpectra","R-bigassertr","R-bigparallelr","R-nabor","R-CRAN-recommended","R-Rcpp","R-robustbase"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-mvtnorm","R-testthat","R-covr","R-spelling","R-rrcov","R-Gmedian"]}],"depends_on":[{"type":"lib","ports":["R-bigsnpr","R-pcadapt"]},{"type":"test","ports":["R-performance"]}]},{"name":"R-bigtime","portdir":"R/R-bigtime","version":"0.2.3","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bigtime","description":"Sparse estimation of large time series models","long_description":"Sparse estimation of large time series 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":["R-RcppEigen","R-magrittr","R-dplyr","R-tidyr","libgcc","R-corrplot","R-CRAN-recommended","libgcc14","R-ggplot2","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-bigtabulate","portdir":"R/R-bigtabulate","version":"1.1.9","license":"(Apache-2 or LGPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"http://www.bigmemory.org","description":"Table, apply and split functionality for Matrix and big.matrix objects","long_description":"Table, apply and split functionality for Matrix and big.matrix objects","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-bigmemory","R-CRAN-recommended","R-BH","R-biganalytics","R-Rcpp"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-bigmemory"]}]},{"name":"R-bigstep","portdir":"R/R-bigstep","version":"1.1.1","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bigstep","description":"Stepwise selection for large data sets","long_description":"Selecting linear and generalized linear models for large data sets using modified stepwise procedure and modern selection criteria (like modifications of Bayesian Information Criterion).","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-matrixStats","R-R.utils","R-bigmemory","R-speedglm","R-CRAN-recommended","R-RcppEigen","R-magrittr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown","R-devtools"]}],"depends_on":[]},{"name":"R-bigstatsr","portdir":"R/R-bigstatsr","version":"1.6.1","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://privefl.github.io/bigstatsr","description":"Statistical tools for filebacked big matrices","long_description":"Statistical tools for filebacked big matrices","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-ps","R-tibble","R-ggplot2","R-foreach","R-cowplot","R-RSpectra","R-bigassertr","R-bigparallelr","R-rmio","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-data.table","R-dplyr","R-testthat","R-covr","R-ModelMetrics","R-spelling","R-ppcor","R-hexbin","R-plotly","R-glmnet","R-RhpcBLASctl","R-bigmemory","R-bigreadr","R-memuse"]}],"depends_on":[{"type":"lib","ports":["R-Compositional","R-Directional","R-PRSPGx","R-bigsnpr","R-pchc"]},{"type":"test","ports":["R-uwot"]}]},{"name":"R-bigsplines","portdir":"R/R-bigsplines","version":"1.1-1","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bigsplines","description":"Smoothing splines for large samples","long_description":"Fits smoothing spline regression models using scalable algorithms designed for large samples.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"dependencies":[{"type":"build","ports":["clang-19","R","gcc14"]},{"type":"lib","ports":["libgcc14","libgcc","R-quadprog","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-bigsparser","portdir":"R/R-bigsparser","version":"0.7.3","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bigsparser","description":"Sparse matrix format with data on disk","long_description":"Sparse matrix format with data on disk","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-bigassertr","R-rmio","R-CRAN-recommended","R-Rcpp","R-RcppEigen"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-PRSPGx","R-bigsnpr"]}]},{"name":"R-bigsnpr","portdir":"R/R-bigsnpr","version":"1.12.18","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://privefl.github.io/bigsnpr","description":"Analysis of massive SNP arrays","long_description":"Analysis of massive SNP arrays","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-data.table","R-magrittr","R-vctrs","R-ggplot2","R-foreach","R-doRNG","R-roptim","libgcc","R-bigparallelr","R-bigreadr","R-bigsparser","R-bigstatsr","R-bigutilsr","R-rmio","R-runonce","R-CRAN-recommended","libgcc14","R-bigassertr","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-glue","R-tibble","R-dplyr","R-testthat","R-dbplyr","R-quadprog","R-covr","R-Hmisc","R-microbenchmark","R-R.utils","R-spelling","R-rmutil","R-RSpectra","R-RhpcBLASctl","R-RSQLite","R-xgboost","R-bindata","R-gaston","R-pcadapt"]}],"depends_on":[{"type":"lib","ports":["R-PRSPGx"]}]},{"name":"R-bigrquery","portdir":"R/R-bigrquery","version":"1.5.1","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://bigrquery.r-dbi.org","description":"Interface to Google BigQuery API","long_description":"Interface to Google BigQuery API","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-cli","R-cpp11","R-curl","R-jsonlite","R-rlang","R-DBI","R-lifecycle","R-tibble","R-prettyunits","R-httr","R-gargle","R-rapidjsonr","R-clock","R-CRAN-recommended","R-bit64","R-brio"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-blob","R-withr","R-dplyr","R-hms","R-testthat","R-dbplyr","R-readr","R-covr","R-sodium","R-wk"]}],"depends_on":[{"type":"test","ports":["R-bigQueryR","R-sqlhelper"]}]},{"name":"R-bigreadr","portdir":"R/R-bigreadr","version":"0.2.5","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://privefl.github.io/bigreadr","description":"Read large text files by splitting them in smaller files","long_description":"Read large text files by splitting them in smaller files","active":true,"categories":["textproc","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-parallelly","R-bigassertr","R-CRAN-recommended","R-Rcpp","R-data.table"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-covr","R-spelling","R-RSQLite"]}],"depends_on":[{"type":"lib","ports":["R-bigsnpr","R-disk.frame"]},{"type":"test","ports":["R-Directional","R-bigstatsr","R-pchc"]}]},{"name":"R-bigparallelr","portdir":"R/R-bigparallelr","version":"0.3.2","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bigparallelr","description":"Utility functions for easy parallelism in R","long_description":"Utility functions for easy parallelism in R","active":true,"categories":["science","parallel","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-foreach","R-RhpcBLASctl","R-bigassertr","R-flock","R-CRAN-recommended","R-parallelly","R-doParallel"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-covr"]}],"depends_on":[{"type":"lib","ports":["R-PRSPGx","R-bigsnpr","R-bigstatsr","R-bigutilsr"]},{"type":"test","ports":["R-Compositional"]}]},{"name":"R-bignum","portdir":"R/R-bignum","version":"0.3.2","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://davidchall.github.io/bignum","description":"Arbitrary-precision arithmetic for R","long_description":"Arbitrary-precision arithmetic for R","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-rlang","R-vctrs","R-CRAN-recommended","R-BH","R-cpp11"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-pillar","R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[{"type":"test","ports":["R-ipaddress"]}]},{"name":"R-bigmemory.sri","portdir":"R/R-bigmemory.sri","version":"0.1.8","license":"(Apache-2 or LGPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bigmemory.sri","description":"Shared-resource interface for the bigmemory and synchronicity packages","long_description":"Shared-resource interface for the bigmemory and synchronicity packages","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-bigmemory"]}],"depends_on":[{"type":"lib","ports":["R-bigmemory","R-synchronicity"]}]},{"name":"R-bigmemory","portdir":"R/R-bigmemory","version":"4.6.4","license":"(Apache-2 or LGPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"http://www.bigmemory.org","description":"Manage massive matrices with shared memory and memory-mapped files","long_description":"Manage massive matrices with shared memory and memory-mapped files","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-uuid","R-bigmemory.sri","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-remotes","R-testthat","R-biganalytics","R-bigtabulate"]}],"depends_on":[{"type":"lib","ports":["R-xrnet","R-kangar00","R-sgd","R-MXM","R-bigalgebra","R-biganalytics","R-bigstep","R-bigtabulate","R-fastglm","R-glmmPen","R-hibayes"]},{"type":"test","ports":["R-NMF","R-bigmemory.sri","R-bigstatsr"]}]},{"name":"R-biglm","portdir":"R/R-biglm","version":"0.9-3","license":"GPL","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=biglm","description":"Bounded Memory Linear and Generalized Linear Models","long_description":"Bounded Memory Linear and Generalized Linear 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":["libgcc14","libgcc","R-DBI","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-leaps","R-RSQLite","R-RODBC"]}],"depends_on":[{"type":"lib","ports":["R-biganalytics","R-cplm","R-leaps","R-rwicc","R-speedglm"]},{"type":"test","ports":["R-DeclareDesign","R-optmatch","R-prediction","R-rstanarm","R-ipumsr","R-broom","R-emmeans","R-ff","R-insight"]}]},{"name":"R-bigergm","portdir":"R/R-bigergm","version":"1.2.1","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bigergm","description":"Hierarchical exponential-family models for big networks","long_description":"A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs).","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-magrittr","R-rlang","R-glue","R-cachem","R-memoise","R-stringr","R-dplyr","R-purrr","R-tidyr","R-igraph","R-readr","R-foreach","R-reticulate","R-statnet.common","R-network","R-ergm","R-intergraph","R-ergm.multi","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-tibble","R-knitr","R-testthat","R-rmarkdown","R-sna"]}],"depends_on":[]},{"name":"R-bigassertr","portdir":"R/R-bigassertr","version":"0.1.6","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bigassertr","description":"Assertion and message functions","long_description":"Assertion and message functions","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-covr"]}],"depends_on":[{"type":"lib","ports":["R-bigparallelr","R-bigreadr","R-bigsnpr","R-bigsparser","R-bigstatsr","R-bigutilsr","R-rmio","R-runonce"]}]},{"name":"R-biganalytics","portdir":"R/R-biganalytics","version":"1.1.22","license":"(Apache-2 or LGPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"http://www.bigmemory.org","description":"Utilities for big.matrix objects from R-bigmemory","long_description":"Utilities for big.matrix objects from R-bigmemory","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-biglm","R-foreach","R-BH","R-CRAN-recommended","R-bigmemory","R-Rcpp"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-bigtabulate"]},{"type":"test","ports":["R-bigmemory"]}]},{"name":"R-bigalgebra","portdir":"R/R-bigalgebra","version":"1.1.2","license":"(Apache-2 or LGPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://fbertran.github.io/bigalgebra","description":"BLAS/LAPACK routines for native R matrices and big.matrix objects","long_description":"BLAS/LAPACK routines for native R matrices and big.matrix objects","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-bigmemory","R-CRAN-recommended","libgcc","libgcc14","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-bigQueryR","portdir":"R/R-bigQueryR","version":"0.5.0.9000","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/cloudyr/bigQueryR","description":"Interface with Google BigQuery","long_description":"Interface with Google BigQuery with R-shiny compatibility.","active":true,"categories":["science","www","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-httr","R-googleAuthR","R-CRAN-recommended","R-googleCloudStorageR","R-assertthat","R-jsonlite"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-data.table","R-purrr","R-knitr","R-shiny","R-testthat","R-rmarkdown","R-bigrquery"]}],"depends_on":[]},{"name":"R-bigGP","portdir":"R/R-bigGP","version":"0.1.8","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bigGP","description":"Distributed Gaussian process calculations","long_description":"Distributed Gaussian process calculations","active":true,"categories":["science","math","parallel","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","openmpi-default","R-Rmpi"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-rlecuyer","R-fields"]}],"depends_on":[]},{"name":"R-bigD","portdir":"R/R-bigD","version":"0.3.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://rich-iannone.github.io/bigD","description":"Flexibly format dates and times to a given locale","long_description":"Flexibly format dates and times to a given locale","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-tibble","R-testthat","R-covr"]}],"depends_on":[{"type":"lib","ports":["R-gt"]}]},{"name":"R-bigBits","portdir":"R/R-bigBits","version":"1.3","license":"LGPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bigBits","description":"Perform Boolean operations on large numbers","long_description":"Perform Boolean operations on large numbers","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Rmpfr","R-gmp","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-bifurcatingr","portdir":"R/R-bifurcatingr","version":"2.1.0","license":"AGPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bifurcatingr","description":"Bifurcating autoregressive models","long_description":"Bifurcating autoregressive models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-fMultivar","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-igraph","R-rmarkdown"]}],"depends_on":[]},{"name":"R-bife","portdir":"R/R-bife","version":"0.7.2","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bife","description":"Binary choice models with fixed effects","long_description":"Binary choice models with fixed effects","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-data.table","R-Formula","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown","R-alpaca"]}],"depends_on":[{"type":"test","ports":["R-alpaca","R-insight"]}]},{"name":"R-bibtex","portdir":"R/R-bibtex","version":"0.5.1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://docs.ropensci.org/bibtex","description":"Utility to parse bibtex files","long_description":"Utility to parse bibtex files","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-backports","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-RefManageR","R-softbib"]},{"type":"test","ports":["R-ChemmineR","R-handlr"]}]},{"name":"R-bibs","portdir":"R/R-bibs","version":"1.1.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bibs","description":"Bayesian Inference for the Birnbaum–Saunders distribution","long_description":"Bayesian Inference for the Birnbaum–Saunders distribution","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-GIGrvg","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-bib2df","portdir":"R/R-bib2df","version":"1.1.2.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://docs.ropensci.org/bib2df","description":"Parse a BibTeX file to a data frame","long_description":"Parse a BibTeX file to a data frame","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-tidyr","R-ggplot2","R-knitr","R-testthat","R-stringr","R-httr","R-CRAN-recommended","R-humaniformat","R-rmarkdown","R-dplyr"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-mark"]}]},{"name":"R-bgw","portdir":"R/R-bgw","version":"0.1.3","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bgw","description":"Bunch–Gay–Welsch statistical estimation","long_description":"Bunch–Gay–Welsch statistical estimation","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","R-CRAN-recommended","libgcc14"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[{"type":"lib","ports":["R-apollo"]}]},{"name":"R-bgms","portdir":"R/R-bgms","version":"0.1.4.2","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://maartenmarsman.github.io/bgms","description":"Bayesian variable selection for networks of binary and/or ordinal variables","long_description":"Bayesian variable selection methods for analyzing the structure of a Markov random field model for a network of binary and/or ordinal variables.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-Rdpack","R-CRAN-recommended","R-Rcpp","R-RcppProgress"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown","R-qgraph"]}],"depends_on":[{"type":"lib","ports":["R-easybgm"]}]},{"name":"R-bgmm","portdir":"R/R-bgmm","version":"1.8.5","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://bgmm.molgen.mpg.de","description":"Gaussian mixture modelling algorithms and the belief-based mixture modelling","long_description":"Gaussian mixture modelling algorithms and the belief-based mixture modelling","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-car","R-combinat","R-CRAN-recommended","R-mvtnorm"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[]},{"name":"R-bggum","portdir":"R/R-bggum","version":"1.0.2","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/duckmayr/bggum","description":"Bayesian estimation of generalized graded unfolding model parameters","long_description":"Bayesian estimation of generalized graded unfolding model parameters","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Rcpp","R-RcppDist","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-bgev","portdir":"R/R-bgev","version":"0.1","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bgev","description":"Bimodal GEV distribution with location parameter","long_description":"Bimodal GEV distribution with location parameter","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-DEoptim","R-EnvStats","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-bfp","portdir":"R/R-bfp","version":"0.0-48","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bfp","description":"Bayesian Fractional Polynomials","long_description":"Implements the Bayesian paradigm for fractional polynomial models under the assumption of normally distributed error terms.","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-doBy","R-Hmisc"]}],"depends_on":[]},{"name":"R-bfast","portdir":"R/R-bfast","version":"1.7.0","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://bfast2.github.io","description":"Breaks for Additive Season and Trend in time series","long_description":"Breaks for Additive Season and Trend in time series","active":true,"categories":["science","R","economics"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-forecast","R-Rdpack","R-strucchangeRcpp","R-CRAN-recommended","R-Rcpp","R-zoo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-sfsmisc","R-stlplus","R-terra"]}],"depends_on":[{"type":"lib","ports":["R-TSS.RESTREND"]},{"type":"test","ports":["R-Rwtss","R-strucchangeRcpp"]}]},{"name":"R-bezier","portdir":"R/R-bezier","version":"1.1.2","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bezier","description":"Toolkit for Bezier curves and splines","long_description":"Toolkit for Bezier curves and splines","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-Morpho"]},{"type":"test","ports":["R-circlize"]}]},{"name":"R-bettermc","portdir":"R/R-bettermc","version":"1.2.1","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bettermc","description":"Enhanced fork-based parallelization","long_description":"Enhanced fork-based parallelization","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-checkmate","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-progress","R-testthat","R-spelling"]}],"depends_on":[]},{"name":"R-betategarch","portdir":"R/R-betategarch","version":"3.3","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=betategarch","description":"Simulation, estimation and forecasting of Beta-Skew-t-EGARCH models","long_description":"Simulation, estimation and forecasting of Beta-Skew-t-EGARCH models","active":true,"categories":["science","finance","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-zoo","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-betareg","portdir":"R/R-betareg","version":"3.2-1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=betareg","description":"Testing linear regression models","long_description":"Beta regression for modeling beta-distributed dependent variables, e.g. rates and proportions. In addition to maximum likelihood regression (for both mean and precision of a beta-distributed response), bias-corrected and bias-reduced estimation as well as finite mixture models and recursive partitioning for Beta regressions are provided.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-Formula","R-flexmix","R-lmtest","R-CRAN-recommended","R-modeltools","R-sandwich"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-numDeriv","R-statmod","R-knitr","R-car","R-strucchange","R-distributions3","R-partykit"]}],"depends_on":[{"type":"lib","ports":["R-SetMethods","R-mfx","R-robustbetareg","R-BetaPASS","R-betaBayes"]},{"type":"test","ports":["R-bbreg","R-brmsmargins","R-broom","R-dominanceanalysis","R-effects","R-enrichwith","R-ggeffects","R-ggstats","R-glmertree","R-insight","R-margins","R-mi","R-modelsummary","R-performance","R-prediction","R-rstanarm","R-AICcmodavg","R-texreg","R-DeclareDesign","R-MuMIn","R-ZIBR","R-bayestestR"]}]},{"name":"R-betafunctions","portdir":"R/R-betafunctions","version":"1.9.0","license":"public-domain","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=betafunctions","description":"Functions for working with two- and four-parameter Beta probability distributions and psychometric analysis of classifications","long_description":"Functions for working with two- and four-parameter Beta probability distributions and psychometric analysis of classifications","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-IRTest"]}]},{"name":"R-betacal","portdir":"R/R-betacal","version":"0.1.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=betacal","description":"Fit beta calibration models and obtain calibrated probabilities from them","long_description":"Fit beta calibration models and obtain calibrated probabilities from them","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-probably"]}]},{"name":"R-betaNB","portdir":"R/R-betaNB","version":"1.0.4","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://jeksterslab.github.io/betaNB","description":"Bootstrap for regression effect sizes","long_description":"Bootstrap for regression effect sizes","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-rmarkdown","R-knitr","R-testthat"]}],"depends_on":[]},{"name":"R-betaMC","portdir":"R/R-betaMC","version":"1.3.2","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://jeksterslab.github.io/betaMC","description":"Monte Carlo for regression effect sizes","long_description":"Monte Carlo for regression effect sizes","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown","R-mice","R-Amelia"]}],"depends_on":[]},{"name":"R-betaBayes","portdir":"R/R-betaBayes","version":"1.0.1","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=betaBayes","description":"Bayesian Beta regression","long_description":"Bayesian Beta regression","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-betareg","R-CRAN-recommended","libgcc","libgcc14","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-bestglm","portdir":"R/R-bestglm","version":"0.37.3","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bestglm","description":"Best subset GLM and regression utilities","long_description":"Best subset GLM and regression utilities","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-pls","R-grpreg","R-CRAN-recommended","R-leaps","R-glmnet"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-caret"]}],"depends_on":[{"type":"lib","ports":["R-FitAR"]},{"type":"test","ports":["R-tidyfit"]}]}]}