{"count":51974,"next":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-created_at&page=275","previous":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-created_at&page=273","results":[{"name":"py311-soco","portdir":"python/py-soco","version":"0.30.10","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/SoCo/SoCo","description":"SoCo (Sonos Controller) is a simple library to control Sonos speakers.","long_description":"SoCo (Sonos Controller) is a simple library to control Sonos speakers.","active":true,"categories":["python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py311-build","py311-installer","py311-setuptools","py311-wheel","clang-18"]},{"type":"lib","ports":["py311-ifaddr","python311","py311-requests","py311-lxml","py311-appdirs","py311-xmltodict"]},{"type":"test","ports":["py311-pytest","py311-requests-mock"]}],"depends_on":[]},{"name":"py311-pyzstd","portdir":"python/py-pyzstd","version":"0.18.0","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/animalize/pyzstd","description":"Python bindings to Zstandard (zstd) compression library, the API is similar to Python's bz2/lzma/zlib module.","long_description":"Python bindings to Zstandard (zstd) compression library, the API is similar to Python's bz2/lzma/zlib module.","active":true,"categories":["python"],"maintainers":[],"variants":["universal"],"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-py7zr"]}]},{"name":"py311-pytest-remotedata","portdir":"python/py-pytest-remotedata","version":"0.4.1","license":"BSD","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/astropy/pytest-remotedata","description":"Pytest plugin for controlling remote data access.","long_description":"Pytest plugin for controlling remote data access.","active":true,"categories":["python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py311-wheel","py311-setuptools_scm","clang-18","py311-build","py311-installer","py311-setuptools"]},{"type":"lib","ports":["python311","py311-packaging","py311-pytest"]},{"type":"test","ports":["py311-pytest"]}],"depends_on":[{"type":"test","ports":["py311-py7zr"]}]},{"name":"py311-pyppmd","portdir":"python/py-pyppmd","version":"1.2.0","license":"LGPL-2.1+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/miurahr/pyppmd","description":"PPMd compression/decompression library","long_description":"PPMd compression/decompression library","active":true,"categories":["python"],"maintainers":[],"variants":["universal"],"dependencies":[{"type":"build","ports":["clang-18","py311-build","py311-installer","py311-setuptools","py311-wheel","py311-setuptools_scm"]},{"type":"lib","ports":["python311"]},{"type":"test","ports":["py311-hypothesis","py311-pytest","py311-coverage","py311-pytest-benchmark","py311-pytest-cov","py311-pytest-timeout"]}],"depends_on":[{"type":"lib","ports":["py311-py7zr"]}]},{"name":"py311-pybcj","portdir":"python/py-pybcj","version":"1.0.6","license":"LGPL-2.1+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://codeberg.org/miurahr/pybcj","description":"bcj filter library","long_description":"bcj filter library","active":true,"categories":["python"],"maintainers":[],"variants":["universal"],"dependencies":[{"type":"build","ports":["clang-18","py311-build","py311-installer","py311-setuptools","py311-wheel","py311-setuptools_scm"]},{"type":"lib","ports":["python311"]},{"type":"test","ports":["py311-hypothesis","py311-pytest"]}],"depends_on":[{"type":"lib","ports":["py311-py7zr"]}]},{"name":"py311-pyannotate","portdir":"python/py-pyannotate","version":"1.2.0","license":"Apache-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/dropbox/pyannotate","description":"PyAnnotate: Auto-generate PEP-484 annotations","long_description":"PyAnnotate: Auto-generate PEP-484 annotations","active":true,"categories":["python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py311-setuptools","py311-wheel","clang-18","py311-build","py311-installer"]},{"type":"lib","ports":["python311","py311-mypy_extensions","py311-six"]},{"type":"test","ports":["py311-pytest"]}],"depends_on":[{"type":"test","ports":["py311-inflate64","py311-multivolumefile","py311-py7zr"]}]},{"name":"py311-py7zr","portdir":"python/py-py7zr","version":"1.0.0","license":"LGPL-2.1+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/miurahr/py7zr","description":"Pure python 7-zip library","long_description":"Pure python 7-zip library","active":true,"categories":["python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py311-build","py311-installer","py311-setuptools","py311-wheel","py311-setuptools_scm","clang-18"]},{"type":"lib","ports":["py311-multivolumefile","py311-pybcj","py311-pyppmd","py311-pyzstd","python311","py311-psutil","py311-brotli","py311-pycryptodomex","py311-texttable","py311-inflate64"]},{"type":"test","ports":["py311-pytest","py311-cpuinfo","py311-pytest-benchmark","py311-pytest-timeout","py311-pyannotate","py311-pytest-remotedata","py311-pytest-httpserver"]}],"depends_on":[]},{"name":"py311-pathvalidate","portdir":"python/py-pathvalidate","version":"3.3.1","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/thombashi/pathvalidate","description":"pathvalidate is a Python library to sanitize/validate a string such as filenames/file-paths/etc.","long_description":"pathvalidate is a Python library to sanitize/validate a string such as filenames/file-paths/etc.","active":true,"categories":["devel","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-18","py311-build","py311-installer","py311-setuptools","py311-wheel","py311-setuptools_scm"]},{"type":"lib","ports":["python311"]},{"type":"test","ports":["py311-pytest","py311-allpairspy","py311-tcolorpy"]}],"depends_on":[{"type":"lib","ports":["qobuz-dl"]}]},{"name":"py311-multivolumefile","portdir":"python/py-multivolumefile","version":"0.2.3","license":"LGPL-2.1+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/miurahr/multivolume","description":"multi volume file wrapper library","long_description":"multi volume file wrapper library","active":true,"categories":["devel","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-18","py311-build","py311-installer","py311-setuptools","py311-wheel","py311-setuptools_scm"]},{"type":"lib","ports":["python311"]},{"type":"test","ports":["py311-hypothesis","py311-pytest","py311-pyannotate"]}],"depends_on":[{"type":"lib","ports":["py311-py7zr"]}]},{"name":"py311-mpd2","portdir":"python/py-mpd2","version":"3.1.1","license":"LGPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/Mic92/python-mpd2","description":"A Python MPD client library","long_description":"A Python MPD client library","active":true,"categories":["devel","audio","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py311-build","py311-installer","py311-setuptools","py311-wheel","clang-18"]},{"type":"lib","ports":["python311"]}],"depends_on":[]},{"name":"py311-mediafile","portdir":"python/py-mediafile","version":"0.13.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://mediafile.readthedocs.io/","description":"elegant audio file tagging","long_description":"MediaFile is a simple interface to the metadata tags for many audio file formats. It wraps Mutagen, a high-quality library for low-level tag manipulation, with a high-level, format-independent interface for a common set of tags.","active":true,"categories":["multimedia","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py311-installer","py311-flit_core","clang-18","py311-build"]},{"type":"lib","ports":["python311","py311-filetype","py311-mutagen"]},{"type":"test","ports":["py311-pytest"]}],"depends_on":[]},{"name":"py311-jellyfish","portdir":"python/py-jellyfish","version":"1.2.1","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/jamesturk/jellyfish","description":"A library for doing approximate and phonetic matching of strings.","long_description":"A library for doing approximate and phonetic matching of strings.","active":true,"categories":["python"],"maintainers":[],"variants":["universal"],"dependencies":[{"type":"build","ports":["py311-maturin","clang-20","cargo","legacy-support","rust","py311-build","py311-installer","py311-setuptools-rust"]},{"type":"lib","ports":["libunwind","python311"]},{"type":"test","ports":["py311-pytest"]}],"depends_on":[{"type":"run","ports":["py311-spyder"]}]},{"name":"py311-inflate64","portdir":"python/py-inflate64","version":"1.0.3","license":"LGPL-2.1+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://pypi.org/project/inflate64","description":"deflate64 compression/decompression library","long_description":"deflate64 compression/decompression library","active":true,"categories":["python"],"maintainers":[],"variants":["universal"],"dependencies":[{"type":"build","ports":["clang-18","py311-build","py311-installer","py311-setuptools","py311-wheel","py311-setuptools_scm"]},{"type":"lib","ports":["python311"]},{"type":"test","ports":["py311-pytest","py311-pyannotate"]}],"depends_on":[{"type":"lib","ports":["py311-py7zr"]}]},{"name":"py311-ifaddr","portdir":"python/py-ifaddr","version":"0.2.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/pydron/ifaddr","description":"Cross-platform network interface and IP address enumeration library","long_description":"Cross-platform network interface and IP address enumeration library","active":true,"categories":["python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py311-build","py311-installer","py311-setuptools","py311-wheel","clang-18"]},{"type":"lib","ports":["python311"]}],"depends_on":[{"type":"lib","ports":["py311-soco"]}]},{"name":"py311-docopt","portdir":"python/py-docopt","version":"0.6.2","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"http://docopt.org","description":"Pythonic argument parser, that will make you smile","long_description":"Pythonic argument parser, that will make you smile","active":true,"categories":["devel","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py311-build","py311-installer","py311-setuptools","py311-wheel","clang-18"]},{"type":"lib","ports":["python311"]}],"depends_on":[{"type":"lib","ports":["docker-compose","py311-coveralls","py311-hdfs"]}]},{"name":"py311-coveralls","portdir":"python/py-coveralls","version":"4.0.1","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/TheKevJames/coveralls-python","description":"Show coverage stats online via coveralls.io","long_description":"Show coverage stats online via coveralls.io","active":true,"categories":["devel","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-18","py311-build","py311-installer","py311-setuptools","py311-poetry-core"]},{"type":"lib","ports":["py311-requests","py311-coverage","py311-docopt","python311"]}],"depends_on":[]},{"name":"R-wooldridge","portdir":"R/R-wooldridge","version":"1.4-3","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://justinmshea.github.io/wooldridge","description":"115 Data sets from Introductory Econometrics: A Modern Approach (7th ed.)","long_description":"115 Data sets from Introductory Econometrics: A Modern Approach (7th ed.)","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-zoo","R-knitr","R-rmarkdown","R-tinytest","R-stargazer","R-xts"]}],"depends_on":[{"type":"test","ports":["R-Ecdat"]}]},{"name":"R-unittest","portdir":"R/R-unittest","version":"1.7-0","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/ravingmantis/unittest","description":"TAP-compliant unit testing","long_description":"TAP-compliant unit testing","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-rmarkdown"]}],"depends_on":[]},{"name":"R-tablaxlsx","portdir":"R/R-tablaxlsx","version":"1.2.5","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=tablaxlsx","description":"Write formatted tables in Excel workbooks","long_description":"Write formatted tables in Excel workbooks","active":true,"categories":["science","office","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-openxlsx","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-survstan","portdir":"R/R-survstan","version":"0.0.7.1","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://fndemarqui.github.io/survstan","description":"Fit survival regression models via Stan","long_description":"Fit survival regression models via Stan","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppEigen","R-RcppParallel","R-StanHeaders","R-rlang","R-rstantools","R-tibble","R-dplyr","R-generics","R-purrr","R-tidyr","R-ggplot2","R-gridExtra","R-rstan","R-future","R-broom","R-extraDistr","R-Rdpack","R-foreach","R-actuar","R-doFuture","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-estimability","R-knitr","R-testthat","R-rmarkdown","R-emmeans","R-GGally"]}],"depends_on":[]},{"name":"R-psqn","portdir":"R/R-psqn","version":"0.3.2","license":"Apache-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=psqn","description":"Partially Separable Quasi-Newton","long_description":"Provides quasi-Newton methods to minimize partially separable 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-testthat","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppEigen"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-RcppArmadillo","R-numDeriv","R-rmarkdown","R-R.rsp","R-lbfgs","R-lbfgsb3c","R-bench","R-alabama"]}],"depends_on":[{"type":"lib","ports":["R-mdgc","R-mmcif"]}]},{"name":"R-parsermd","portdir":"R/R-parsermd","version":"0.1.3","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://rundel.github.io/parsermd","description":"Formal parser and related tools for R markdown documents","long_description":"Formal parser and related tools for R markdown documents","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-cli","R-magrittr","R-rlang","R-lifecycle","R-pillar","R-tibble","R-withr","R-checkmate","R-dplyr","R-purrr","R-tidyr","R-tidyselect","R-yaml","R-rmarkdown","R-readr","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat"]}],"depends_on":[]},{"name":"R-mmcif","portdir":"R/R-mmcif","version":"0.1.1","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/boennecd/mmcif","description":"Mixed Multivariate Cumulative Incidence Functions","long_description":"Fits the mixed cumulative incidence functions model, which decomposes within cluster dependence of risk and timing. The estimation method supports computation in parallel using a shared memory C++ implementation. A sandwich estimator of the covariance matrix is available. Natural cubic splines are used to provide a flexible model for the cumulative incidence 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-testthat","R-alabama","R-psqn","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-xml2","R-mvtnorm","R-R.rsp","R-mets"]}],"depends_on":[]},{"name":"R-mdgc","portdir":"R/R-mdgc","version":"0.1.7","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mdgc","description":"Missing data imputation using gaussian copulas","long_description":"Missing data imputation using gaussian copulas","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-testthat","R-psqn","R-CRAN-recommended","libgcc14","libgcc","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-catdata"]}],"depends_on":[]},{"name":"R-mark","portdir":"R/R-mark","version":"0.8.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://jmbarbone.github.io/mark","description":"Miscellaneous functions and wrappers for development in other packages","long_description":"Miscellaneous functions and wrappers for development in other packages","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-cli","R-fuj","R-rlang","R-fs","R-magrittr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-yaml","R-knitr","R-testthat","R-waldo","R-haven","R-rcmdcheck","R-covr","R-spelling","R-bench","R-echo","R-bib2df","R-jsonlite","R-stringi","R-crayon","R-desc","R-tibble","R-withr","R-dplyr","R-xopen"]}],"depends_on":[]},{"name":"R-maptools","portdir":"R/R-maptools","version":"1.1-8","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://r-forge.r-project.org/projects/maptools","description":"Tools for handling spatial objects","long_description":"Tools for handling spatial objects","active":true,"categories":["science","gis","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-sp","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-SSN"]},{"type":"test","ports":["R-GpGp","R-knitrBootstrap","R-mosaic","R-rgdal","R-rgeos","R-gamlss.spatial","R-riverplot"]}]},{"name":"R-lutz","portdir":"R/R-lutz","version":"0.3.2","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://andyteucher.ca/lutz","description":"Look up time zones of point coordinates","long_description":"Look up time zones of point coordinates","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-Rcpp","R-lubridate"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-sp","R-ggplot2","R-testthat","R-covr","R-sf"]}],"depends_on":[]},{"name":"R-lamW","portdir":"R/R-lamW","version":"2.2.4","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/aadler/lamW","description":"Lambert W-function","long_description":"Lambert W-function","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-Rcpp","R-RcppParallel"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-covr","R-tinytest"]}],"depends_on":[{"type":"lib","ports":["R-BayesRep","R-LambertW","R-frair","R-mexhaz"]}]},{"name":"R-gcplyr","portdir":"R/R-gcplyr","version":"1.10.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://mikeblazanin.github.io/gcplyr","description":"Manipulate and analyze growth curve data","long_description":"Manipulate and analyze growth curve data","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-rlang","R-CRAN-recommended","R-dplyr","R-tidyr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-cowplot","R-caret","R-sf","R-readxl","R-ggplot2","R-knitr","R-lubridate","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-fusen","portdir":"R/R-fusen","version":"0.6.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://thinkr-open.github.io/fusen","description":"Build a package from Rmarkdown files","long_description":"Build a package from Rmarkdown files","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-stringi","R-desc","R-glue","R-tibble","R-here","R-tidyr","R-yaml","R-devtools","R-roxygen2","R-usethis","R-attachment","R-CRAN-recommended","R-lightparser","R-cli","R-magrittr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-withr","R-knitr","R-pkgload","R-testthat","R-rmarkdown","R-gert","R-rcmdcheck","R-rstudioapi","R-styler"]}],"depends_on":[]},{"name":"R-frair","portdir":"R/R-frair","version":"0.5.100","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=frair","description":"Tools for functional response analysis","long_description":"Tools for functional response analysis","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-lamW","R-CRAN-recommended","R-bbmle"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[]},{"name":"R-fpp2","portdir":"R/R-fpp2","version":"2.5","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://pkg.robjhyndman.com/fpp2-package","description":"Data for Forecasting: Principles and Practice (2nd ed.)","long_description":"Data for Forecasting: Principles and Practice (2nd ed.)","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-crayon","R-purrr","R-ggplot2","R-rstudioapi","R-cli","R-expsmooth","R-fma","R-CRAN-recommended","R-forecast","R-magrittr"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-fpp","portdir":"R/R-fpp","version":"0.5","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=fpp","description":"Data for Forecasting: Principles and Practice","long_description":"Data for Forecasting: Principles and Practice","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-tseries","R-expsmooth","R-forecast","R-CRAN-recommended","R-fma","R-lmtest"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-fma","portdir":"R/R-fma","version":"2.5","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/robjhyndman/fma","description":"Data sets from Forecasting: Methods and Applications (1998)","long_description":"Data sets from Forecasting: Methods and Applications (1998)","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-forecast","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-dplyr","R-ggplot2","R-knitr","R-rmarkdown"]}],"depends_on":[{"type":"lib","ports":["R-fpp","R-fpp2"]}]},{"name":"R-einet","portdir":"R/R-einet","version":"1.1.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://travisbyrum.github.io/einet","description":"Methods and utilities for causal emergence","long_description":"Used to explore and compute various information theory metrics for networks, such as effective information, effectiveness and causal emergence.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-magrittr","R-shiny","R-igraph","R-CRAN-recommended","R-assertthat","R-entropy"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-RColorBrewer","R-knitr","R-testthat","R-markdown","R-rmarkdown","R-spelling","R-bench"]}],"depends_on":[]},{"name":"R-circular","portdir":"R/R-circular","version":"0.5-1","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=circular","description":"Circular statistics","long_description":"Circular statistics","active":true,"categories":["science","R"],"maintainers":[],"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"dependencies":[{"type":"build","ports":["clang-19","R","gcc14"]},{"type":"lib","ports":["libgcc14","libgcc","R-mvtnorm","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-CircSpaceTime","R-LaMa","R-bayes4psy","R-samc"]}]},{"name":"R-attachment","portdir":"R/R-attachment","version":"0.4.2","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://thinkr-open.github.io/attachment","description":"Manage dependencies during package development","long_description":"Manage dependencies during package development","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-desc","R-glue","R-stringr","R-withr","R-yaml","R-knitr","R-rmarkdown","R-roxygen2","R-CRAN-recommended","R-cli","R-magrittr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-lifecycle","R-testthat","R-rstudioapi","R-renv"]}],"depends_on":[{"type":"lib","ports":["R-fusen"]},{"type":"test","ports":["R-golem"]}]},{"name":"R-ZIprop","portdir":"R/R-ZIprop","version":"0.1.1","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://gitlab.paca.inrae.fr/meribaud/ziprop","description":"Permutations tests and performance indicator for zero-inflated proportions response","long_description":"Permutations tests and performance indicator for zero-inflated proportions response","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-data.table","R-rgenoud","R-CRAN-recommended","R-purrr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-kableExtra","R-stringr","R-ggplot2","R-knitr","R-markdown","R-ggrepel","R-ggthemes"]}],"depends_on":[]},{"name":"imath3","portdir":"graphics/openexr3","version":"3.1.7","license":"none","platforms":"darwin","epoch":0,"replaced_by":"imath","homepage":"https://www.macports.org","description":"Obsolete port, replaced by imath","long_description":"This port has been replaced by imath.","active":false,"categories":[],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-15"]},{"type":"extract","ports":[null]},{"type":"fetch","ports":[null]},{"type":"lib","ports":[null]},{"type":"patch","ports":[null]},{"type":"run","ports":[null]},{"type":"test","ports":[null]}],"depends_on":[]},{"name":"yajl-fort","portdir":"fortran/yajl-fort","version":"1.3","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/nncarlson/yajl-fort","description":"Modern Fortran interface to the YAJL library","long_description":"The YAJL-Fort package provides a modern object-oriented Fortran interface to the YAJL C library, which is an event-driven parser for JSON data streams.","active":true,"categories":["fortran"],"maintainers":[],"variants":["debug","clang13","clang14","clang15","clang16","clang17","clang18","clang19","clang20","clang21","clang22","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gcc15","gccdevel","gfortran","universal"],"dependencies":[{"type":"build","ports":["cmake","clang-18","gcc15"]},{"type":"lib","ports":["yajl","libgcc"]}],"depends_on":[]},{"name":"xmlsec-1.2","portdir":"security/xmlsec-1.2","version":"1.2.42","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://www.aleksey.com/xmlsec/","description":"XML Security Library is a C library based on LibXML2.","long_description":"XML Security Library is a C library based on LibXML2.. The library supports major XML security standards. XML Signature, XML Encryption, Canonical XML and Exclusive Canonical XML.","active":true,"categories":["devel","textproc","security"],"maintainers":[{"name":"mps","github":"Schamschula","ports_count":1419}],"variants":[],"dependencies":[{"type":"build","ports":["pkgconfig","clang-18"]},{"type":"lib","ports":["libgcrypt","libtool","nspr","gnutls","nss","libxml2","libxslt","openssl","icu"]}],"depends_on":[{"type":"lib","ports":["py37-xmlsec"]}]},{"name":"R-xmlconvert","portdir":"R/R-xmlconvert","version":"0.1.2","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=xmlconvert","description":"Convert XML documents to R dataframes and dataframes to XML documents","long_description":"Convert XML documents to R dataframes and dataframes to XML documents","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-tibble","R-lubridate","R-httr","R-xml2","R-CRAN-recommended","R-readr","R-stringr"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-tlrmvnmvt","portdir":"R/R-tlrmvnmvt","version":"1.1.2","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=tlrmvnmvt","description":"Low-rank methods for MVN and MVT probabilities","long_description":"Low-rank methods for MVN and MVT probabilities","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-CRAN-recommended","libgcc14","libgcc","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-mvtnorm"]}],"depends_on":[{"type":"lib","ports":["R-MomTrunc"]}]},{"name":"R-spMC","portdir":"R/R-spMC","version":"0.3.15","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=spMC","description":"Continuous-lag spatial Markov chains","long_description":"Continuous-lag spatial Markov chains","active":true,"categories":["science","math","R"],"maintainers":[],"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"dependencies":[{"type":"build","ports":["clang-19","R","gcc14"]},{"type":"lib","ports":["R-CRAN-recommended","libgcc14","libgcc"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-rmBayes","portdir":"R/R-rmBayes","version":"0.1.16","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/zhengxiaoUVic/rmBayes","description":"Performing Bayesian inference for repeated-measures designs","long_description":"Performing Bayesian inference for repeated-measures designs","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-rstantools","R-rstan","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown","R-covr"]}],"depends_on":[]},{"name":"R-repmis","portdir":"R/R-repmis","version":"0.5","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=repmis","description":"Miscellaneous tools for reproducible research","long_description":"Miscellaneous tools for reproducible research","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-digest","R-httr","R-data.table","R-CRAN-recommended","R-R.cache","R-plyr"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-mastif"]}]},{"name":"R-relaimpo","portdir":"R/R-relaimpo","version":"2.2-7","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://prof.bht-berlin.de/groemping/relaimpo","description":"Relative importance of regressors in linear models","long_description":"Relative importance of regressors in linear models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-survey","R-corpcor","R-CRAN-recommended","R-mitools"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-care"]}],"depends_on":[{"type":"test","ports":["R-domir","R-ic.infer"]}]},{"name":"R-proxyC","portdir":"R/R-proxyC","version":"0.4.1","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=proxyC","description":"Computes proximity between rows or columns of large matrices efficiently in C++","long_description":"Computes proximity between rows or columns of large matrices efficiently in 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":["R-RcppArmadillo","R-CRAN-recommended","libgcc14","libgcc","onetbb","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-entropy","R-proxy","R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[{"type":"lib","ports":["R-quanteda.textstats","R-seededlda"]}]},{"name":"R-poisbinom","portdir":"R/R-poisbinom","version":"1.0.1","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=poisbinom","description":"Faster implementation of the Poisson-binomial distribution","long_description":"Provides the probability, distribution, quantile functions and random number generator for the Poisson-Binomial distribution.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["fftw-3","R-Rcpp","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-NetMix"]}]},{"name":"R-mc2d","portdir":"R/R-mc2d","version":"0.2.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mc2d","description":"Tools for two-dimensional Monte-Carlo simulations","long_description":"Tools for two-dimensional Monte-Carlo simulations","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-ggplot2","R-ggpubr","R-CRAN-recommended","R-mvtnorm"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-fitdistrplus"]}],"depends_on":[{"type":"lib","ports":["R-CPP","R-iCARH"]},{"type":"test","ports":["R-fitdistrplus","R-fitteR"]}]}]}