{"count":51976,"next":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-created_at&page=290","previous":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-created_at&page=288","results":[{"name":"R-rEDM","portdir":"R/R-rEDM","version":"1.15.4","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=rEDM","description":"Empirical Dynamic Modelling","long_description":"An implementation of EDM algorithms based on research software developed for internal use at the Sugihara Lab.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"dependencies":[{"type":"build","ports":["clang-19","R","gcc14"]},{"type":"lib","ports":["R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppThread"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown","R-formatR"]}],"depends_on":[]},{"name":"R-nabor","portdir":"R/R-nabor","version":"0.5.0","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/jefferis/nabor","description":"R package wrapping libnabo: fast k nearest neighbor search for low dimensions","long_description":"R package wrapping libnabo: fast k nearest neighbor search for low dimensions","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-Rcpp","R-RcppEigen","R-CRAN-recommended","R-BH"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-RANN","R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-bigutilsr"]}]},{"name":"R-memuse","portdir":"R/R-memuse","version":"4.2-3","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://shinra-dev.github.io","description":"Utility functions for large-scale data","long_description":"Utility functions for large-scale data","active":true,"categories":["sysutils","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-jmatrix","R-parallelpam","R-vcfR"]},{"type":"test","ports":["R-bigstatsr","R-coop"]}]},{"name":"R-jmatrix","portdir":"R/R-jmatrix","version":"1.5.2","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=jmatrix","description":"Read from/write to disk matrices with any data type in a binary format","long_description":"Read from/write to disk matrices with any data type in a binary format","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-memuse","R-CRAN-recommended","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr"]}],"depends_on":[]},{"name":"R-ivprobit","portdir":"R/R-ivprobit","version":"1.1","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=ivprobit","description":"Instrumental variables probit model","long_description":"Instrumental variables probit model","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Formula","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-flock","portdir":"R/R-flock","version":"0.7","license":"Apache-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=flock","description":"Process synchronization using file locks","long_description":"Process synchronization using file locks","active":true,"categories":["devel","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":[{"type":"lib","ports":["R-archivist","R-bigparallelr"]}]},{"name":"R-extraoperators","portdir":"R/R-extraoperators","version":"0.3.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://joshuawiley.com/extraoperators","description":"Extra binary relational and logical operators","long_description":"Extra binary relational and logical operators","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","R-rmarkdown","R-covr","R-knitr"]}],"depends_on":[{"type":"lib","ports":["R-brmsmargins","R-multilevelcoda"]}]},{"name":"R-duckdb","portdir":"R/R-duckdb","version":"1.1.3","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/duckdb/duckdb-r","description":"DBI package for the DuckDB database management system","long_description":"DBI package for the DuckDB database management system","active":true,"categories":["databases","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["gnutar","R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended","R-DBI"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-dplyr","R-callr","R-testthat","R-dbplyr","R-clock","R-arrow","R-adbcdrivermanager","R-DBItest","R-bit64","R-rlang","R-vctrs","R-tibble","R-withr"]}],"depends_on":[{"type":"lib","ports":["R-duckdbfs","R-duckplyr","R-SQL","R-censobr","R-SQLDataFrame"]},{"type":"test","ports":["R-repana","R-arrow","R-dm"]}]},{"name":"R-dlsem","portdir":"R/R-dlsem","version":"2.4.6","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=dlsem","description":"Distributed-Lag Linear Structural Equation Models","long_description":"Distributed-Lag Linear Structural Equation Models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-graph","R-Rgraphviz","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-distro","portdir":"R/R-distro","version":"0.1.0","license":"Apache-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=distro","description":"Linux distribution properties","long_description":"Linux distribution properties","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":"test","ports":["R-arrow"]}]},{"name":"R-didimputation","portdir":"R/R-didimputation","version":"0.3.0","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=didimputation","description":"Imputation Estimator from Borusyak, Jaravel and Spiess (2021)","long_description":"Imputation Estimator from Borusyak, Jaravel and Spiess (2021)","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-glue","R-stringr","R-dplyr","R-purrr","R-tidyr","R-broom","R-fixest","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-haven"]}],"depends_on":[{"type":"lib","ports":["R-did2s"]}]},{"name":"R-did2s","portdir":"R/R-did2s","version":"1.0.2","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://kylebutts.github.io/did2s","description":"Two-stage difference-in-differences following Gardner (2021)","long_description":"Two-stage difference-in-differences following Gardner (2021)","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-SparseM","R-ggplot2","R-broom","R-fixest","R-MatrixExtra","R-did","R-didimputation","R-staggered","R-CRAN-recommended","R-data.table","R-rlang"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown","R-haven"]}],"depends_on":[]},{"name":"R-did","portdir":"R/R-did","version":"2.1.2","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://bcallaway11.github.io/did","description":"Treatment effects with multiple periods and groups","long_description":"Treatment effects with multiple periods and groups","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-ggplot2","R-pbapply","R-ggpubr","R-BMisc","R-DRDID","R-CRAN-recommended","R-generics","R-tidyr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-here","R-knitr","R-rmarkdown","R-covr","R-plm"]}],"depends_on":[{"type":"lib","ports":["R-did2s","R-optic"]},{"type":"test","ports":["R-etwfe","R-modelsummary"]}]},{"name":"R-coop","portdir":"R/R-coop","version":"0.6-3","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=coop","description":"Co-Operation: fast covariance, correlation and cosine similarity operations","long_description":"Co-Operation: fast covariance, correlation and cosine similarity operations","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-slam","R-memuse"]}],"depends_on":[{"type":"lib","ports":["R-cvCovEst","R-influential"]}]},{"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-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-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-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-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-archivist","portdir":"R/R-archivist","version":"2.3.8","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://pbiecek.github.io/archivist","description":"Tools for storing, restoring and searching for R objects","long_description":"Tools for storing, restoring and searching for R objects","active":true,"categories":["sysutils","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-digest","R-lubridate","R-httr","R-RCurl","R-RSQLite","R-flock","R-CRAN-recommended","R-magrittr","R-DBI"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-dplyr","R-ggplot2","R-knitr","R-shiny","R-testthat","R-markdown","R-rmarkdown","R-devtools"]}],"depends_on":[]},{"name":"R-Gmedian","portdir":"R/R-Gmedian","version":"1.2.7","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Gmedian","description":"Geometric median, k-medians clustering and robust median PCA","long_description":"Geometric median, k-medians clustering and robust median PCA","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-robustbase","R-RSpectra","R-Rcpp","R-CRAN-recommended","R-RcppArmadillo"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-bigutilsr"]}]},{"name":"R-DRDID","portdir":"R/R-DRDID","version":"1.2.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://psantanna.com/DRDID","description":"Doubly Robust Difference-in-Differences Estimators","long_description":"Doubly Robust Difference-in-Differences Estimators","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-BMisc","R-fastglm","R-CRAN-recommended","R-Rcpp","R-trust"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown","R-spelling"]}],"depends_on":[{"type":"lib","ports":["R-did"]}]},{"name":"R-BMisc","portdir":"R/R-BMisc","version":"1.4.6","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://bcallaway11.github.io/BMisc","description":"Miscellaneous functions for panel data, quantiles and printing results","long_description":"Miscellaneous functions for panel data, quantiles and printing results","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-data.table","R-CRAN-recommended","R-Rcpp","R-dplyr","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-tibble","R-testthat","R-plm"]}],"depends_on":[{"type":"lib","ports":["R-DRDID","R-did"]}]},{"name":"libstdcxx_clang_fix","portdir":"devel/libstdcxx_clang_fix","version":"0.0.1","license":"Permissive","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"","description":"Install alternate math.h header file for use when using Clang and libstdc++.","long_description":"Install alternate math.h header file for use when using Clang and libstdc++.","active":true,"categories":["devel"],"maintainers":[{"name":"mcalhoun","github":"MarcusCalhoun-Lopez","ports_count":1599}],"variants":[],"dependencies":[{"type":"build","ports":["clang-18"]}],"depends_on":[]},{"name":"bali-phy-devel","portdir":"science/bali-phy","version":"08162025-472371dc","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://www.bali-phy.org/","description":"Bayesian co-estimation of phylogenies and multiple alignments via MCMC","long_description":"BAli-Phy estimates multiple sequence alignments and evolutionary trees from DNA, amino acid, or codon sequences. It uses likelihood-based evolutionary models of substitutions and insertions and deletions to place gaps.","active":true,"categories":["science"],"maintainers":[{"name":"reneeotten","github":"reneeotten","ports_count":2122}],"variants":["doc","universal"],"dependencies":[{"type":"build","ports":["eigen3","pandoc","cereal","clang-22","cmake","meson","ninja","nlohmann-json","pkgconfig","range-v3"]},{"type":"lib","ports":["cairo","libfmt11","boost187"]},{"type":"run","ports":["perl5"]},{"type":"test","ports":["python313"]}],"depends_on":[]},{"name":"R-speedglm","portdir":"R/R-speedglm","version":"0.3-5","license":"GPL","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=speedglm","description":"Fitting linear models and generalized linear models to large data sets by updating algorithms","long_description":"Fitting linear models and generalized linear models to large data sets by updating algorithms","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-biglm","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-bigstep"]},{"type":"test","ports":["R-broom","R-btergm","R-insight","R-mediation","R-parglm","R-prediction","R-texreg","R-tmle3"]}]},{"name":"R-mediation","portdir":"R/R-mediation","version":"4.5.0","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://imai.princeton.edu/projects/mechanisms.html","description":"Parametric and non-parametric mediation analysis","long_description":"Parametric and non-parametric mediation analysis","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-lme4","R-Hmisc","R-lpSolve","R-CRAN-recommended","R-mvtnorm","R-sandwich"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-quantreg","R-VGAM","R-SuppDists","R-speedglm"]}],"depends_on":[{"type":"lib","ports":["R-bruceR"]},{"type":"test","ports":["R-bayestestR","R-broom","R-WRS2","R-datawizard","R-emmeans","R-broom.mixed"]}]},{"name":"py311-xmltodict","portdir":"python/py-xmltodict","version":"1.0.2","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/martinblech/xmltodict","description":"Makes working with XML feel like you are working with JSON","long_description":"This Python module makes working with XML feel like you are working with JSON.","active":true,"categories":["devel","python"],"maintainers":[{"name":"petr","github":"petrrr","ports_count":612}],"variants":[],"dependencies":[{"type":"build","ports":["py311-setuptools","py311-build","py311-installer","py311-wheel","clang-18"]},{"type":"lib","ports":["python311"]},{"type":"test","ports":["py311-pytest"]}],"depends_on":[{"type":"lib","ports":["py311-pywinrm","py311-soco"]},{"type":"test","ports":["py311-Faker"]}]},{"name":"py311-pyvis","portdir":"python/py-pyvis","version":"0.3.2","license":"BSD","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://pyvis.readthedocs.io/en/latest/","description":"Python package for creating and visualizing interactive network graphs","long_description":"Python package for creating and visualizing interactive network graphs. A pyvis network can be customized on a per node or per edge basis. Nodes can be given colors, sizes, labels, and other metadata. Pyvis is built around visjs, a JavaScript visualization library.","active":true,"categories":["python"],"maintainers":[{"name":"harens","github":"harens","ports_count":166}],"variants":[],"dependencies":[{"type":"build","ports":["clang-18","py311-build","py311-installer","py311-setuptools","py311-wheel"]},{"type":"lib","ports":["python311"]},{"type":"run","ports":["py311-networkx","py311-jinja2","py311-jsonpickle","py311-ipython"]}],"depends_on":[]},{"name":"py311-boltons","portdir":"python/py-boltons","version":"23.0.0","license":"BSD","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://boltons.readthedocs.org/","description":"Constructs, recipes, and snippets which extend the Python standard library","long_description":"Boltons is a set of over 230 BSD-licensed, pure-Python utilities in the same spirit as — and yet conspicuously missing from — the standard library.","active":true,"categories":["python"],"maintainers":[{"name":"harens","github":"harens","ports_count":166}],"variants":[],"dependencies":[{"type":"build","ports":["py311-build","py311-installer","py311-setuptools","py311-wheel","clang-18"]},{"type":"lib","ports":["python311"]}],"depends_on":[{"type":"lib","ports":["py-boltons"]}]},{"name":"py310-boltons","portdir":"python/py-boltons","version":"23.0.0","license":"BSD","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://boltons.readthedocs.org/","description":"Constructs, recipes, and snippets which extend the Python standard library","long_description":"Boltons is a set of over 230 BSD-licensed, pure-Python utilities in the same spirit as — and yet conspicuously missing from — the standard library.","active":true,"categories":["python"],"maintainers":[{"name":"harens","github":"harens","ports_count":166}],"variants":[],"dependencies":[{"type":"build","ports":["py310-setuptools","py310-wheel","py310-build","py310-installer","clang-18"]},{"type":"lib","ports":["python310"]}],"depends_on":[]},{"name":"R-vennLasso","portdir":"R/R-vennLasso","version":"0.1.6","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/jaredhuling/vennLasso","description":"Variable selection for heterogeneous populations","long_description":"Provides variable selection and estimation routines for models with main effects stratified on multiple binary factors.","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-RcppNumerical","R-igraph","R-foreach","R-visNetwork","R-VennDiagram","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppEigen"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-tvm","portdir":"R/R-tvm","version":"0.5.2","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://bitbucket.org/juancentro/tvm","description":"Functions for managing cashflows and interest rate curves","long_description":"Functions for managing cashflows and interest rate curves","active":true,"categories":["science","finance","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-scales","R-CRAN-recommended","R-reshape2","R-ggplot2"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-markdown","R-rmarkdown"]}],"depends_on":[]},{"name":"R-squid","portdir":"R/R-squid","version":"0.2.1","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://squid-group.github.io/squid","description":"Statistical Quantification of Individual Differences","long_description":"Statistical Quantification of Individual Differences","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-shiny","R-brms","R-lme4","R-arm","R-shinyMatrix","R-plotly","R-CRAN-recommended","R-data.table","R-ggplot2"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[]},{"name":"R-sae","portdir":"R/R-sae","version":"1.3","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=sae","description":"Functions for small area estimation","long_description":"Functions for small area estimation","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-lme4","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-fence"]},{"type":"test","ports":["R-sae2"]}]},{"name":"R-rminqa","portdir":"R/R-rminqa","version":"0.2.2","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=rminqa","description":"Derivative-free optimization algorithms in R using C++","long_description":"Derivative-free optimization algorithms in R using C++","active":true,"categories":["science","math","R"],"maintainers":[],"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"dependencies":[{"type":"build","ports":["clang-19","R","gcc14"]},{"type":"lib","ports":["libgcc","libgcc14","R-Rcpp","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-minqa"]}],"depends_on":[{"type":"lib","ports":["R-glmmrOptim"]}]},{"name":"R-pbmcapply","portdir":"R/R-pbmcapply","version":"1.5.1","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=pbmcapply","description":"Tracking the progress of mc*pply with progress bar","long_description":"Tracking the progress of mc*pply with progress bar","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-sccore","R-fungible","R-ghypernet","R-hbamr","R-opdisDownsampling","R-GREMLINS"]},{"type":"test","ports":["R-robber","R-progressr"]}]},{"name":"R-gt","portdir":"R/R-gt","version":"0.11.1","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://gt.rstudio.com","description":"Build display tables from tabular data with an easy-to-use set of functions","long_description":"Build display tables from tabular data with an easy-to-use set of functions","active":true,"categories":["science","office","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-fs","R-magrittr","R-rlang","R-xml2","R-glue","R-vctrs","R-dplyr","R-htmltools","R-tidyselect","R-commonmark","R-sass","R-scales","R-htmlwidgets","R-markdown","R-bitops","R-bigD","R-reactable","R-CRAN-recommended","R-base64enc","R-cli"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-gtable","R-digest","R-withr","R-tidyr","R-RColorBrewer","R-fontawesome","R-ggplot2","R-knitr","R-lubridate","R-shiny","R-testthat","R-rmarkdown","R-rvest","R-covr","R-magick","R-rsvg","R-paletteer"]}],"depends_on":[{"type":"lib","ports":["R-modeltime","R-gtExtras","R-boot.pval","R-gtsummary","R-chisquare","R-gsDesign","R-gsDesign2"]},{"type":"test","ports":["R-formatters","R-gdalraster","R-ggeffects","R-gtreg","R-insight","R-ivreg","R-modelsummary","R-ordbetareg","R-panelsummary","R-patchwork","R-simtrial","R-stringr","R-Hmisc","R-targets","R-brms.mmrm","R-correlation","R-crosstable","R-datawizard","R-effectsize","R-etwfe"]}]},{"name":"R-ghypernet","portdir":"R/R-ghypernet","version":"1.1.0","license":"AGPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=ghypernet","description":"Fit and simulate generalised hypergeometric ensembles of graphs","long_description":"Fit and simulate generalised hypergeometric ensembles of graphs","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-dplyr","R-purrr","R-reshape2","R-extraDistr","R-texreg","R-rootSolve","R-numbers","R-pbmcapply","R-CRAN-recommended","R-rlang","R-plyr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-ggplot2","R-knitr","R-testthat","R-igraph","R-rmarkdown","R-BiasedUrn","R-ggraph"]}],"depends_on":[]},{"name":"R-finetune","portdir":"R/R-finetune","version":"1.2.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://finetune.tidymodels.org","description":"Additional functions for model tuning","long_description":"Additional functions for model tuning","active":true,"categories":["science","math","R","economics"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-vctrs","R-tibble","R-dplyr","R-purrr","R-tidyr","R-tidyselect","R-ggplot2","R-parsnip","R-dials","R-tune","R-workflows","R-CRAN-recommended","R-cli","R-rlang"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-lme4","R-covr","R-spelling","R-modeldata","R-recipes","R-rsample","R-yardstick","R-ranger","R-kknn","R-BradleyTerry2","R-discrim","R-klaR"]}],"depends_on":[{"type":"test","ports":["R-workflowsets"]}]},{"name":"R-fence","portdir":"R/R-fence","version":"1.0","license":"BSD","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=fence","description":"Fence methods for model selection","long_description":"Fence methods for model selection","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-snow","R-fields","R-snowfall","R-sae","R-CRAN-recommended","R-ggplot2","R-lme4"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-pscl"]}],"depends_on":[]},{"name":"R-evreg","portdir":"R/R-evreg","version":"1.1.1","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=evreg","description":"Evidential neural network for regression","long_description":"Evidential neural network for regression","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-evclust","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-ggplot2","R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-evclust","portdir":"R/R-evclust","version":"2.0.3","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=evclust","description":"Evidential Clustering","long_description":"Evidential Clustering","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-FNN","R-R.utils","R-mclust","R-limSolve","R-CRAN-recommended","R-plyr","R-quadprog"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-kernlab"]}],"depends_on":[{"type":"lib","ports":["R-evreg"]}]},{"name":"R-VennDiagram","portdir":"R/R-VennDiagram","version":"1.7.3","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=VennDiagram","description":"Generate high-resolution Venn and Euler plots","long_description":"Generate high-resolution Venn and Euler plots","active":true,"categories":["graphics","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-futile.logger","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-vennLasso"]},{"type":"test","ports":["R-cowplot","R-rempsyc"]}]},{"name":"R-TidyDensity","portdir":"R/R-TidyDensity","version":"1.5.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/spsanderson/TidyDensity","description":"Functions for tidy analysis and generation of random data","long_description":"Functions for tidy analysis and generation of random data","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-rlang","R-dplyr","R-purrr","R-tidyr","R-tidyselect","R-ggplot2","R-nloptr","R-broom","R-patchwork","R-plotly","R-actuar","R-CRAN-recommended","R-data.table","R-magrittr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown","R-EnvStats"]}],"depends_on":[]},{"name":"R-REndo","portdir":"R/R-REndo","version":"2.4.10","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/mmeierer/REndo","description":"Linear models with endogenous regressors using latent instrumental variables","long_description":"Linear models with endogenous regressors using latent instrumental variables","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-data.table","R-mvtnorm","R-lme4","R-Formula","R-lmtest","R-corpcor","R-optimx","R-AER","R-CRAN-recommended","R-Rcpp","R-RcppEigen"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-covr","R-R.rsp"]}],"depends_on":[]},{"name":"R-OwenQ","portdir":"R/R-OwenQ","version":"1.0.7","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=OwenQ","description":"Owen Q-function","long_description":"Evaluates the Owen Q-function for an integer value of the degrees of freedom, by applying Owen’s algorithm.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppEigen","R-RcppNumerical","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-mvtnorm","R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-MedianaDesigner","portdir":"R/R-MedianaDesigner","version":"0.13","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/medianasoft/MedianaDesigner","description":"Power and sample size calculations for clinical trials","long_description":"Power and sample size calculations for clinical trials","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppNumerical","R-mvtnorm","R-shiny","R-lme4","R-doParallel","R-foreach","R-shinydashboard","R-rootSolve","R-lmerTest","R-officer","R-pbkrtest","R-shinyMatrix","R-flextable","R-devEMF","R-CRAN-recommended","R-Rcpp","R-RcppEigen"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-doRNG"]}],"depends_on":[]}]}