{"count":51970,"next":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-updated_at&page=795","previous":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-updated_at&page=793","results":[{"name":"R-bluster","portdir":"R/R-bluster","version":"1.14.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/LTLA/bluster","description":"Clustering algorithms for Bioconductor","long_description":"Clustering algorithms for Bioconductor","active":true,"categories":["science","R","bioconductor"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-S4Vectors","R-BiocParallel","R-Rcpp","R-CRAN-recommended","R-BiocNeighbors","R-igraph"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-blockmodels","portdir":"R/R-blockmodels","version":"1.1.5","license":"LGPL-2.1","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=blockmodels","description":"Latent and stochastic block model estimation by a V-EM algorithm","long_description":"Latent and stochastic block model estimation by a V-EM algorithm","active":true,"categories":["science","math","R"],"maintainers":[],"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"dependencies":[{"type":"build","ports":["clang-19","R","gcc14"]},{"type":"lib","ports":["R-digest","R-CRAN-recommended","libgcc","libgcc14","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-GREMLINS","R-graphclust","R-robber","R-sbm"]},{"type":"test","ports":["R-missSBM"]}]},{"name":"R-bltm","portdir":"R/R-bltm","version":"0.1.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://curso-r.github.io/bltm","description":"Bayesian Latent Threshold Modelling","long_description":"Bayesian Latent Threshold Modelling","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Rfast","R-mvnfast","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-blockcluster","portdir":"R/R-blockcluster","version":"4.5.5","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://gitlab.inria.fr/iovleff/blockcluster","description":"Co-clustering package for binary, categorical, contingency and continuous data-sets","long_description":"Co-clustering package for binary, categorical, contingency and continuous data-sets","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","libgcc","libgcc14","R-Rcpp","R-rtkore"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-diceR"]}]},{"name":"R-blob","portdir":"R/R-blob","version":"1.2.4.9006","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://blob.tidyverse.org","description":"Simple S3 class for representing vectors of binary data","long_description":"Simple S3 class for representing vectors of binary data","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-rlang","R-vctrs"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-crayon","R-pillar","R-testthat","R-covr"]}],"depends_on":[{"type":"lib","ports":["R-RSQLite","R-DBItest","R-RMariaDB","R-odbc","R-RPostgres","R-dbplyr"]},{"type":"test","ports":["R-nanoarrow","R-sf","R-DBI","R-tibble","R-arrow","R-bigrquery","R-constructive","R-dbx","R-ipaddress"]}]},{"name":"R-bliss","portdir":"R/R-bliss","version":"1.1.1","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/pmgrollemund/bliss","description":"Bayesian functional linear regression with sparse step functions","long_description":"Bayesian functional linear regression with sparse step functions","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-RcppProgress","R-ggplot2","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-RColorBrewer","R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-blme","portdir":"R/R-blme","version":"1.0-6","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/vdorie/blme","description":"Bayesian Linear Mixed Effect models","long_description":"Maximum a posteriori estimation for linear and generalized linear mixed-effects models in a Bayesian setting. Extends lme4 package.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-lme4","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-expint","R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-brxx","R-merTools"]},{"type":"test","ports":["R-insight"]}]},{"name":"R-blink","portdir":"R/R-blink","version":"1.1.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=blink","description":"Record linkage for empirically motivated priors","long_description":"Model, which performs Bayesian entity resolution for categorical and text data, for any distance function defined by the user. In addition, the precision and recall are in the package to allow one to compare to another method such as logistic regression, Bayesian additive regression trees (BART) or random forests. Unrelated to BlackPink.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-plyr","R-stringdist"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[{"type":"lib","ports":["R-klsh"]}]},{"name":"R-blindreview","portdir":"R/R-blindreview","version":"2.0.0","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=blindreview","description":"Blind review using forward search procedures","long_description":"Blind review using forward search procedures","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-Hmisc","R-CRAN-recommended"]},{"type":"run","ports":["R","gmp"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-blatent","portdir":"R/R-blatent","version":"0.1.2","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=blatent","description":"Bayesian latent variable models","long_description":"Bayesian latent variable 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-RcppArmadillo","R-mnormt","R-coda","libgcc","R-CRAN-recommended","libgcc14","R-truncnorm","R-R6","R-Rcpp"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-blavaan","portdir":"R/R-blavaan","version":"0.5-6","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://ecmerkle.github.io/blavaan","description":"Bayesian latent variable analysis","long_description":"Bayesian latent variable analysis","active":true,"categories":["science","math","R","economics"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppEigen","R-RcppParallel","R-StanHeaders","R-mnormt","R-coda","R-rstantools","R-tmvnsim","R-loo","R-rstan","R-bayesplot","R-future.apply","R-lavaan","R-nonnest2","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-runjags","R-tinytest","R-cmdstanr","R-rjags","R-modeest","R-semTools"]}],"depends_on":[{"type":"lib","ports":["R-brxx","R-tidySEM"]},{"type":"test","ports":["R-bayestestR","R-insight","R-performance","R-semTools"]}]},{"name":"R-blaster","portdir":"R/R-blaster","version":"1.0.7","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=blaster","description":"Native R implementation of an efficient BLAST-like algorithm","long_description":"Native R implementation of an efficient BLAST-like algorithm","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Rcpp","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-blackbox","portdir":"R/R-blackbox","version":"1.1.46","license":"CeCILL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=blackbox","description":"Black box optimization and exploration of parameter space","long_description":"Black box optimization and exploration of parameter space","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-proxy","R-numDeriv","R-matrixStats","R-nloptr","R-pbapply","R-foreach","R-geometry","R-rcdd","R-spaMM","R-CRAN-recommended","R-Rcpp","R-RcppEigen"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-minqa","R-testthat","R-igraph","R-lbfgsb3c"]}],"depends_on":[{"type":"test","ports":["R-spaMM"]}]},{"name":"R-bizdays","portdir":"R/R-bizdays","version":"1.0.16","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://wilsonfreitas.github.io/R-bizdays","description":"Business days calculations and utilities","long_description":"Business days calculations and utilities","active":true,"categories":["science","finance","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended","R-jsonlite"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-timeDate","R-RQuantLib","R-knitr","R-testthat","R-rmarkdown","R-covr"]}],"depends_on":[]},{"name":"R-bivpois","portdir":"R/R-bivpois","version":"1.0","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bivpois","description":"Bivariate Poisson distribution","long_description":"Bivariate Poisson distribution","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Rfast","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-MLE"]}]},{"name":"R-bivgeom","portdir":"R/R-bivgeom","version":"1.0","license":"GPL","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bivgeom","description":"Roy’s Bivariate Geometric distribution","long_description":"Roy’s Bivariate Geometric distribution","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-bbmle","R-copula","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-bitops","portdir":"R/R-bitops","version":"1.0-9","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/mmaechler/R-bitops","description":"Functions for bitwise operations on integer vectors","long_description":"Functions for bitwise operations on integer vectors","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-rattle","R-Rsamtools","R-ggmap","R-gt","R-RCurl","R-bnstruct","R-caTools","R-cherry","R-geozoo"]},{"type":"test","ports":["R-XML","R-gtExtras","R-pkgload"]}]},{"name":"R-bit64","portdir":"R/R-bit64","version":"4.5.2","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/truecluster/bit64","description":"S3 class for vectors of 64-bit integers","long_description":"S3 class for vectors of 64-bit integers","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-bit","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-arrow","R-nanotime","R-odbc","R-bigrquery","R-disk.frame","R-docore","R-rtweet","R-dtts","R-RPostgres","R-RSQLite","R-cooltools","R-gdalraster","R-hdf5r","R-vroom","R-RMariaDB","R-jsontools","R-CVXR"]},{"type":"test","ports":["R-rhdf5","R-rio","R-s2","R-scales","R-tibble","R-tidytable","R-tiledb","R-vctrs","R-waldo","R-writexl","R-yyjsonr","R-RNetCDF","R-RcppFarmHash","R-RcppInt64","R-RcppSimdJson","R-adbi","R-bit","R-constructive","R-csvread","R-data.table","R-dbplyr","R-duckdb","R-filearray","R-fst","R-ivs","R-nanoarrow","R-pillar"]}]},{"name":"R-bit","portdir":"R/R-bit","version":"4.5.0","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bit","description":"Classes and methods for fast memory-efficient boolean selections","long_description":"Classes and methods for fast memory-efficient boolean selections","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-knitr","R-testthat","R-rmarkdown","R-roxygen2","R-microbenchmark","R-ff","R-bit64"]}],"depends_on":[{"type":"lib","ports":["R-bit64","R-ff"]},{"type":"test","ports":["R-bamlss","R-data.table"]}]},{"name":"R-bistablehistory","portdir":"R/R-bistablehistory","version":"1.1.2","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://alexander-pastukhov.github.io/bistablehistory","description":"Cumulative history analysis for bistable perception time series","long_description":"Cumulative history analysis for bistable perception time series","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-magrittr","R-rlang","R-glue","R-rstantools","R-tibble","R-dplyr","R-loo","R-purrr","R-tidyr","R-rstan","R-future","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-ggplot2","R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-bisque","portdir":"R/R-bisque","version":"1.0.2","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bisque","description":"Approximate Bayesian Inference via Sparse Grid Quadrature Evaluation (BISQuE) for hierarchical models","long_description":"Approximate Bayesian Inference via Sparse Grid Quadrature Evaluation (BISQuE) for hierarchical 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-itertools","R-foreach","R-mvQuad","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-fields"]}],"depends_on":[]},{"name":"R-bisectr","portdir":"R/R-bisectr","version":"0.1.0","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bisectr","description":"Tools to find bad commits with git bisect","long_description":"Tools to find bad commits with git bisect","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-devtools","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-bipartite","portdir":"R/R-bipartite","version":"2.20","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bipartite","description":"Visualising bipartite networks and calculating some (ecological) indices","long_description":"Visualising bipartite networks and calculating some (ecological) indices","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-fields","R-sna","R-vegan","R-CRAN-recommended","R-igraph","R-permute"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr"]}],"depends_on":[{"type":"test","ports":["R-leiden"]}]},{"name":"R-biomartr","portdir":"R/R-biomartr","version":"1.0.7","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://docs.ropensci.org/biomartr","description":"Genomic data retrieval","long_description":"Genomic data retrieval","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-fs","R-jsonlite","R-stringr","R-tibble","R-withr","R-dplyr","R-purrr","R-httr","R-readr","R-RCurl","R-XML","R-R.utils","R-downloader","R-Biostrings","R-biomaRt","R-philentropy","R-CRAN-recommended","R-curl","R-data.table"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-magrittr","R-knitr","R-testthat","R-rmarkdown","R-devtools","R-seqinr"]}],"depends_on":[]},{"name":"R-biomaRt","portdir":"R/R-biomaRt","version":"2.60.1","license":"Artistic-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://bioconductor.org/packages/biomaRt","description":"Interface to BioMart databases","long_description":"Interface to BioMart databases","active":true,"categories":["science","R","bioconductor"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-stringr","R-progress","R-rappdirs","R-XML","R-httr2","R-AnnotationDbi","R-BiocFileCache","R-CRAN-recommended","R-xml2","R-digest"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown","R-mockery","R-BiocStyle","R-httptest2"]}],"depends_on":[{"type":"lib","ports":["R-GenomicFeatures","R-biomartr"]},{"type":"test","ports":["R-ShortRead","R-kangar00"]}]},{"name":"R-biocthis","portdir":"R/R-biocthis","version":"1.14.0","license":"Artistic-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/lcolladotor/biocthis","description":"Automate package and project setup for Bioconductor packages","long_description":"This package expands the usethis package with the goal of helping automate the process of creating R packages for Bioconductor or making them Bioconductor-friendly.","active":true,"categories":["devel","science","R","bioconductor"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-glue","R-usethis","R-BiocManager","R-styler","R-CRAN-recommended","R-fs","R-rlang"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-sessioninfo","R-knitr","R-testthat","R-rmarkdown","R-devtools","R-pkgdown","R-covr","R-BiocStyle","R-RefManageR"]}],"depends_on":[]},{"name":"R-biocViews","portdir":"R/R-biocViews","version":"1.72.0","license":"Artistic-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://bioconductor.org/packages/biocViews","description":"Categorized views of R package repositories","long_description":"Categorized views of R package repositories","active":true,"categories":["science","R","bioconductor"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-XML","R-BiocManager","R-RBGL","R-graph","R-Biobase","R-CRAN-recommended","R-RUnit","R-RCurl"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-commonmark","R-knitr","R-BiocGenerics","R-BiocStyle"]}],"depends_on":[{"type":"lib","ports":["R-BiocCheck","R-BiocPkgTools"]},{"type":"test","ports":["R-rworkflows"]}]},{"name":"R-biobroom","portdir":"R/R-biobroom","version":"1.36.0","license":"LGPL","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://bioconductor.org/packages/biobroom","description":"Turn Bioconductor objects into tidy data frames","long_description":"Turn Bioconductor objects into tidy data frames","active":true,"categories":["science","R","bioconductor"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-broom","R-Biobase","R-dplyr","R-CRAN-recommended","R-tidyr"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-bioDist","portdir":"R/R-bioDist","version":"1.76.0","license":"Artistic-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://bioconductor.org/packages/bioDist","description":"Different distance measures","long_description":"Different distance measures","active":true,"categories":["science","R","bioconductor"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Biobase","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-locfit"]}],"depends_on":[]},{"name":"R-binseqtest","portdir":"R/R-binseqtest","version":"1.0.4","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=binseqtest","description":"Exact binary sequential designs and analysis","long_description":"For a series of binary responses, create stopping boundary with exact results after stopping, allowing updating for missing assessments.","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-clinfun","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-binsegRcpp","portdir":"R/R-binsegRcpp","version":"2023.8.31","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=binsegRcpp","description":"Efficient implementation of binary segmentation","long_description":"Efficient implementation of binary segmentation","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Rcpp","R-data.table","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-atime"]}]},{"name":"R-binomCI","portdir":"R/R-binomCI","version":"1.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=binomCI","description":"Confidence intervals for a binomial proportion","long_description":"Twelve confidence intervals for one binomial proportion or a vector of binomial proportions are computed.","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-binom","portdir":"R/R-binom","version":"1.1-1.1","license":"GPL","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=binom","description":"Binomial confidence intervals for several parameterizations","long_description":"Constructs confidence intervals on the probability of success in a binomial experiment via several parameterizations.","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-ggplot2","R-polynom"]}],"depends_on":[{"type":"lib","ports":["R-gmeta","R-inctools","R-trialr"]},{"type":"test","ports":["R-rtdists"]}]},{"name":"R-bindrcpp","portdir":"R/R-bindrcpp","version":"0.2.3.9002","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://krlmlr.github.io/bindrcpp","description":"Rcpp interface to active bindings","long_description":"Rcpp interface to active bindings","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-plogr","R-bindr","R-CRAN-recommended","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[{"type":"test","ports":["R-joineRML","R-tidybayes"]}]},{"name":"R-bindr","portdir":"R/R-bindr","version":"0.1.1","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://krlmlr.github.io/bindr","description":"Parametrized active bindings","long_description":"Parametrized active bindings","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"]}],"depends_on":[{"type":"lib","ports":["R-bindrcpp"]},{"type":"test","ports":["R-drake"]}]},{"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"]}]}]}