{"count":51974,"next":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-created_at&page=269","previous":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-created_at&page=267","results":[{"name":"HiGHS","portdir":"math/HiGHS","version":"1.12.0","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://ergo-code.github.io/HiGHS/stable/","description":"Linear optimization software","long_description":"HiGHS is a high performance serial and parallel solver for large-scale sparse linear optimization problems.","active":true,"categories":["science","math"],"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":["zlib","libgcc"]}],"depends_on":[{"type":"lib","ports":["papilo"]}]},{"name":"gdal_select","portdir":"python/gdal_select","version":"0.1","license":"Permissive","platforms":"any","epoch":0,"replaced_by":null,"homepage":"","description":"common files for selecting default py-gdal version","long_description":"This port installs files that allow 'port select' to be used to create links to the preferred default version of py-gdal.","active":true,"categories":["python"],"maintainers":[{"name":"","github":"nilason","ports_count":2}],"variants":[],"dependencies":[{"type":"build","ports":["clang-18"]}],"depends_on":[{"type":"run","ports":["py37-gdal","py38-gdal","py39-gdal","py310-gdal","py311-gdal","py312-gdal","py313-gdal","py314-gdal"]}]},{"name":"py311-resampy","portdir":"python/py-resampy","version":"0.4.3","license":"ISC","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/bmcfee/resampy","description":"Efficient sample rate conversion in python","long_description":"Efficient sample rate conversion in python","active":true,"categories":["audio","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py311-build","clang-18","py311-wheel","py311-setuptools","py311-installer"]},{"type":"lib","ports":["python311"]},{"type":"run","ports":["py311-numba","py311-scipy","py311-numpy","py311-six"]},{"type":"test","ports":["py311-pytest"]}],"depends_on":[{"type":"test","ports":["py311-librosa"]}]},{"name":"py310-resampy","portdir":"python/py-resampy","version":"0.4.3","license":"ISC","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/bmcfee/resampy","description":"Efficient sample rate conversion in python","long_description":"Efficient sample rate conversion in python","active":true,"categories":["audio","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py310-setuptools","clang-18","py310-installer","py310-build","py310-wheel"]},{"type":"lib","ports":["python310"]},{"type":"run","ports":["py310-numba","py310-scipy","py310-numpy","py310-six"]},{"type":"test","ports":["py310-pytest"]}],"depends_on":[{"type":"test","ports":["py310-librosa"]}]},{"name":"py311-pretty-midi","portdir":"python/py-pretty-midi","version":"0.2.9","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/craffel/pretty-midi","description":"Functions and classes for handling MIDI data conveniently.","long_description":"pretty_midi contains utility function/classes for handling MIDI data, so that it's in a format which is easy to modify and extract information from.","active":true,"categories":["audio","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py311-installer","clang-18","py311-wheel","py311-setuptools","py311-build"]},{"type":"lib","ports":["python311"]},{"type":"run","ports":["py311-mido","py311-numpy","py311-six"]},{"type":"test","ports":["py311-pytest"]}],"depends_on":[{"type":"lib","ports":["py-pretty-midi"]},{"type":"run","ports":["py311-note-seq"]}]},{"name":"py310-pretty-midi","portdir":"python/py-pretty-midi","version":"0.2.9","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/craffel/pretty-midi","description":"Functions and classes for handling MIDI data conveniently.","long_description":"pretty_midi contains utility function/classes for handling MIDI data, so that it's in a format which is easy to modify and extract information from.","active":true,"categories":["audio","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py310-wheel","clang-18","py310-installer","py310-build","py310-setuptools"]},{"type":"lib","ports":["python310"]},{"type":"run","ports":["py310-mido","py310-numpy","py310-six"]},{"type":"test","ports":["py310-pytest"]}],"depends_on":[{"type":"run","ports":["py310-note-seq"]}]},{"name":"py311-note-seq","portdir":"python/py-note-seq","version":"0.0.5","license":"Apache-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://magenta.tensorflow.org/","description":"Use machine learning to create art and music.","long_description":"Use machine learning to create art and music.. This is the home for our serializable NoteSequence representation along with utilities for: creating them from various formats (e.g., MIDI, abc, MusicXML); manipulating them (e.g., slicing, quantizing) extracting components (e.g., melodies, drum tracks, chord); exporting them (e.g., to MIDI or audio); or converting them to representations useful for model training (e.g., one-hot tensors).","active":true,"categories":["audio","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py311-build","py311-installer","py311-setuptools","py311-wheel","clang-18"]},{"type":"lib","ports":["python311"]},{"type":"run","ports":["py311-bokeh","py311-ipython","py311-scikit-image","py311-numba","py311-pretty-midi","py311-protobuf3","py311-absl","py311-librosa","py311-attrs","py311-numpy","py311-intervaltree","py311-pandas","py311-scipy"]},{"type":"test","ports":["py311-pytest","py311-pytest-xdist"]}],"depends_on":[{"type":"lib","ports":["py-note-seq"]}]},{"name":"py310-note-seq","portdir":"python/py-note-seq","version":"0.0.5","license":"Apache-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://magenta.tensorflow.org/","description":"Use machine learning to create art and music.","long_description":"Use machine learning to create art and music.. This is the home for our serializable NoteSequence representation along with utilities for: creating them from various formats (e.g., MIDI, abc, MusicXML); manipulating them (e.g., slicing, quantizing) extracting components (e.g., melodies, drum tracks, chord); exporting them (e.g., to MIDI or audio); or converting them to representations useful for model training (e.g., one-hot tensors).","active":true,"categories":["audio","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py310-setuptools","py310-wheel","py310-build","py310-installer","clang-18"]},{"type":"lib","ports":["python310"]},{"type":"run","ports":["py310-ipython","py310-absl","py310-protobuf3","py310-scikit-image","py310-numba","py310-librosa","py310-pretty-midi","py310-bokeh","py310-attrs","py310-intervaltree","py310-numpy","py310-scipy","py310-pandas"]},{"type":"test","ports":["py310-pytest","py310-pytest-xdist"]}],"depends_on":[]},{"name":"py311-mido","portdir":"python/py-mido","version":"1.3.3","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://mido.readthedocs.io/","description":"MIDI Objects for Python","long_description":"Mido is a library for working with MIDI messages and ports.","active":true,"categories":["audio","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py311-setuptools_scm","clang-18","py311-build","py311-installer","py311-setuptools","py311-wheel"]},{"type":"lib","ports":["python311","py311-packaging"]},{"type":"test","ports":["py311-pytest"]}],"depends_on":[{"type":"run","ports":["py311-pretty-midi"]}]},{"name":"py310-mido","portdir":"python/py-mido","version":"1.3.3","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://mido.readthedocs.io/","description":"MIDI Objects for Python","long_description":"Mido is a library for working with MIDI messages and ports.","active":true,"categories":["audio","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py310-installer","clang-18","py310-setuptools","py310-setuptools_scm","py310-wheel","py310-build"]},{"type":"lib","ports":["python310","py310-packaging"]},{"type":"test","ports":["py310-pytest"]}],"depends_on":[{"type":"run","ports":["py310-pretty-midi"]}]},{"name":"py311-librosa","portdir":"python/py-librosa","version":"0.11.0","license":"ISC","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/librosa/librosa","description":"A python package for music and audio analysis.","long_description":"A python package for music and audio analysis.","active":true,"categories":["audio","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py311-build","py311-installer","py311-setuptools","py311-wheel","clang-18"]},{"type":"lib","ports":["python311"]},{"type":"run","ports":["py311-scikit-learn","py311-scipy","py311-msgpack","py311-pooch","py311-numba","py311-soundfile","py311-audioread","py311-soxr","py311-lazy_loader","py311-typing_extensions","py311-decorator","py311-numpy","py311-matplotlib","py311-joblib"]},{"type":"test","ports":["py311-packaging","py311-pytest","py311-resampy","py311-pytest-mpl","py311-samplerate","py311-types-decorator"]}],"depends_on":[{"type":"run","ports":["py311-note-seq"]}]},{"name":"py310-librosa","portdir":"python/py-librosa","version":"0.11.0","license":"ISC","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/librosa/librosa","description":"A python package for music and audio analysis.","long_description":"A python package for music and audio analysis.","active":true,"categories":["audio","python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py310-setuptools","py310-wheel","py310-build","py310-installer","clang-18"]},{"type":"lib","ports":["python310"]},{"type":"run","ports":["py310-matplotlib","py310-joblib","py310-scikit-learn","py310-audioread","py310-soundfile","py310-pooch","py310-numba","py310-soxr","py310-lazy_loader","py310-decorator","py310-typing_extensions","py310-numpy","py310-msgpack","py310-scipy"]},{"type":"test","ports":["py310-packaging","py310-pytest","py310-resampy","py310-pytest-mpl","py310-samplerate","py310-types-decorator"]}],"depends_on":[{"type":"run","ports":["py310-note-seq"]}]},{"name":"py311-setuptools-git-versioning","portdir":"python/py-setuptools-git-versioning","version":"3.1.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/dolfinus/setuptools-git-versioning","description":"Use git repo data (latest tag, current commit hash, etc) for building a version number according PEP 440.","long_description":"Use git repo data (latest tag, current commit hash, etc) for building a version number according PEP 440.","active":true,"categories":["python"],"maintainers":[{"name":"mps","github":"Schamschula","ports_count":1419}],"variants":[],"dependencies":[{"type":"build","ports":["py311-installer","py311-wheel","clang-18","py311-build","py311-setuptools"]},{"type":"lib","ports":["py311-packaging","python311"]}],"depends_on":[{"type":"build","ports":["py311-bokeh","py311-cytoolz","py311-pdfminer","py311-toolz"]}]},{"name":"py310-setuptools-git-versioning","portdir":"python/py-setuptools-git-versioning","version":"3.1.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/dolfinus/setuptools-git-versioning","description":"Use git repo data (latest tag, current commit hash, etc) for building a version number according PEP 440.","long_description":"Use git repo data (latest tag, current commit hash, etc) for building a version number according PEP 440.","active":true,"categories":["python"],"maintainers":[{"name":"mps","github":"Schamschula","ports_count":1419}],"variants":[],"dependencies":[{"type":"build","ports":["clang-18","py310-wheel","py310-build","py310-installer","py310-setuptools"]},{"type":"lib","ports":["py310-tomli","py310-packaging","python310"]}],"depends_on":[{"type":"build","ports":["py310-bokeh","py310-cytoolz","py310-pdfminer","py310-toolz"]}]},{"name":"py39-setuptools-git-versioning","portdir":"python/py-setuptools-git-versioning","version":"2.1.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/dolfinus/setuptools-git-versioning","description":"Use git repo data (latest tag, current commit hash, etc) for building a version number according PEP 440.","long_description":"Use git repo data (latest tag, current commit hash, etc) for building a version number according PEP 440.","active":false,"categories":["python"],"maintainers":[{"name":"mps","github":"Schamschula","ports_count":1419}],"variants":[],"dependencies":[{"type":"build","ports":["clang-18","py39-wheel","py39-build","py39-installer","py39-setuptools"]},{"type":"lib","ports":["py39-packaging","py39-toml","python39"]}],"depends_on":[{"type":"build","ports":["py39-cytoolz","py39-toolz","py39-bokeh"]},{"type":"lib","ports":["py39-pdfminer"]}]},{"name":"py38-setuptools-git-versioning","portdir":"python/py-setuptools-git-versioning","version":"2.1.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/dolfinus/setuptools-git-versioning","description":"Use git repo data (latest tag, current commit hash, etc) for building a version number according PEP 440.","long_description":"Use git repo data (latest tag, current commit hash, etc) for building a version number according PEP 440.","active":false,"categories":["python"],"maintainers":[{"name":"mps","github":"Schamschula","ports_count":1419}],"variants":[],"dependencies":[{"type":"build","ports":["clang-17","py38-wheel","py38-build","py38-installer","py38-setuptools"]},{"type":"lib","ports":["py38-packaging","py38-toml","python38"]}],"depends_on":[{"type":"build","ports":["py38-bokeh"]},{"type":"lib","ports":["py38-pdfminer"]}]},{"name":"py-setuptools-git-versioning","portdir":"python/py-setuptools-git-versioning","version":"3.1.0","license":"MIT","platforms":"any","epoch":0,"replaced_by":null,"homepage":"https://github.com/dolfinus/setuptools-git-versioning","description":"Use git repo data (latest tag, current commit hash, etc) for building a version number according PEP 440.","long_description":"Use git repo data (latest tag, current commit hash, etc) for building a version number according PEP 440.","active":true,"categories":["python"],"maintainers":[{"name":"mps","github":"Schamschula","ports_count":1419}],"variants":[],"dependencies":[{"type":"build","ports":["clang-18"]},{"type":"lib","ports":["py314-setuptools-git-versioning"]}],"depends_on":[]},{"name":"R-via","portdir":"R/R-via","version":"0.2.0","license":"CC-BY-4","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=via","description":"Virtual Arrays","long_description":"Virtual Arrays","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-variables","portdir":"R/R-variables","version":"1.1-1","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=variables","description":"Abstract descriptions of (yet) unobserved variables","long_description":"Abstract descriptions of (yet) unobserved variables","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-trtf","R-cotram","R-mlt","R-basefun","R-tbm","R-tram","R-tramME"]},{"type":"test","ports":["R-mlt.docreg"]}]},{"name":"R-ustfd","portdir":"R/R-ustfd","version":"0.4.4","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=ustfd","description":"API client for U.S. Treasury fiscal data","long_description":"API client for U.S. Treasury fiscal data","active":true,"categories":["science","www","finance","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-stringr","R-tibble","R-dplyr","R-purrr","R-lubridate","R-httr","R-readr","R-snakecase","R-CRAN-recommended","R-rlang","R-glue"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-jsonlite","R-testthat"]}],"depends_on":[]},{"name":"R-sqldf","portdir":"R/R-sqldf","version":"0.4-11","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=sqldf","description":"Manipulate R data frames using SQL","long_description":"Manipulate R data frames using SQL","active":true,"categories":["databases","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-proto","R-gsubfn","R-RSQLite","R-CRAN-recommended","R-DBI","R-chron"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-svUnit","R-RPostgreSQL","R-RMySQL"]}],"depends_on":[{"type":"lib","ports":["R-WeibullFit","R-kangar00","R-nlive"]},{"type":"test","ports":["R-R6causal"]}]},{"name":"R-simode","portdir":"R/R-simode","version":"1.2.2","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=simode","description":"Statistical inference for systems of ordinary differential equations using separable integral-matching","long_description":"Statistical inference for systems of ordinary differential equations using separable integral-matching","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-pracma","R-glmnet","R-ncvreg","R-CRAN-recommended","R-quadprog","R-deSolve"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-qpcR","portdir":"R/R-qpcR","version":"1.4-1","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=qpcR","description":"Modelling and analysis of real-time PCR data","long_description":"Modelling and analysis of real-time PCR data","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":["R-rgl","R-CRAN-recommended","libgcc","libgcc14","R-robustbase","R-minpack.lm"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-ARDL"]}]},{"name":"R-partykit","portdir":"R/R-partykit","version":"1.2-22","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"http://partykit.r-forge.r-project.org/partykit","description":"Toolkit for recursive partytioning","long_description":"Toolkit for recursive partytioning","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-inum","R-libcoin","R-CRAN-recommended","R-mvtnorm","R-Formula"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-mlbench","R-coin","R-party","R-psychotools","R-psychotree","R-pmml","R-sandwich","R-randomForest","R-XML","R-strucchange","R-vcd","R-AER","R-TH.data"]}],"depends_on":[{"type":"lib","ports":["R-trtf","R-C50","R-ODRF","R-PlackettLuce","R-pre","R-psica","R-psychotree","R-stablelearner","R-tidyrules","R-ATR","R-fmeffects","R-ggparty","R-glmertree","R-logiBin","R-mboost"]},{"type":"test","ports":["R-betareg","R-bonsai","R-buildmer","R-censored","R-tbm","R-plotmo"]}]},{"name":"R-optimr","portdir":"R/R-optimr","version":"2019-12.16","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=optimr","description":"Replacement and extension of the optim function","long_description":"Replacement and extension of the optim function","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-pscl","R-optextras","R-Rcgmin","R-Rvmmin","R-CRAN-recommended","R-numDeriv","R-setRNG"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[{"type":"lib","ports":["R-Disequilibrium"]}]},{"name":"R-mlt","portdir":"R/R-mlt","version":"1.6-1","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mlt","description":"Most Likely Transformations","long_description":"Likelihood-based estimation of conditional transformation models via the most likely transformation approach.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-sandwich","R-nloptr","R-BB","R-alabama","R-basefun","R-coneproj","R-variables","R-CRAN-recommended","R-mvtnorm","R-numDeriv"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-TH.data","R-multcomp","R-qrng"]}],"depends_on":[{"type":"lib","ports":["R-cotram","R-mlt.docreg","R-tbm","R-tram","R-tramME","R-tramnet","R-trtf"]}]},{"name":"R-libcoin","portdir":"R/R-libcoin","version":"1.0-10","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=libcoin","description":"Linear test statistics for permutation inference","long_description":"Linear test statistics for permutation inference","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-mvtnorm","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-coin"]}],"depends_on":[{"type":"lib","ports":["R-coin","R-inum","R-partykit","R-trtf"]}]},{"name":"R-kangar00","portdir":"R/R-kangar00","version":"1.4.2","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://kangar00.manitz.org","description":"Kernel approaches for non-linear genetic association regression","long_description":"Kernel approaches for non-linear genetic association regression","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-igraph","R-bigmemory","R-sqldf","R-CRAN-recommended","R-data.table","R-CompQuadForm"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-biomaRt","R-KEGGgraph"]}],"depends_on":[{"type":"test","ports":["R-mboost"]}]},{"name":"R-inum","portdir":"R/R-inum","version":"1.0-5","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=inum","description":"Interval and enum-type representation of vectors","long_description":"Interval and enum-type representation of vectors","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-libcoin","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-partykit"]}]},{"name":"R-glmertree","portdir":"R/R-glmertree","version":"0.2-6","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=glmertree","description":"Generalized linear mixed model trees","long_description":"Generalized linear mixed model trees","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-partykit","R-CRAN-recommended","R-lme4","R-Formula"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-betareg","R-lmerTest","R-vcd","R-glmmTMB"]}],"depends_on":[{"type":"test","ports":["R-buildmer","R-pre"]}]},{"name":"R-ggparty","portdir":"R/R-ggparty","version":"1.0.0","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=ggparty","description":"ggplot2 visualizations for the R-partykit","long_description":"ggplot2 visualizations for the R-partykit","active":true,"categories":["graphics","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-ggplot2","R-partykit","R-CRAN-recommended","R-gtable","R-checkmate","R-rlang"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-coin","R-knitr","R-testthat","R-rmarkdown","R-vdiffr","R-AER","R-TH.data","R-mlbench","R-pander"]}],"depends_on":[{"type":"lib","ports":["R-fmeffects"]}]},{"name":"R-declared","portdir":"R/R-declared","version":"0.25","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/dusadrian/declared","description":"Functions for declared missing values","long_description":"Functions for declared missing values","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-pillar","R-tibble","R-vroom","R-knitr","R-testthat","R-rmarkdown","R-haven","R-covr","R-labelled","R-spelling","R-admisc","R-vctrs"]}],"depends_on":[{"type":"lib","ports":["R-QCA"]}]},{"name":"R-coneproj","portdir":"R/R-coneproj","version":"1.19","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=coneproj","description":"Primal or dual cone projections with routines for constrained regression","long_description":"Primal or dual cone projections with routines for constrained regression","active":true,"categories":["science","math","R"],"maintainers":[],"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"dependencies":[{"type":"build","ports":["clang-19","R","gcc14"]},{"type":"lib","ports":["R-CRAN-recommended","libgcc","libgcc14","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-isotonic.pen","R-cgam","R-csurvey","R-tramME","R-mlt","R-tbm"]},{"type":"test","ports":["R-basefun"]}]},{"name":"R-coin","portdir":"R/R-coin","version":"1.4-3","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=coin","description":"Conditional inference procedures in a permutation test framework","long_description":"Conditional inference procedures in a permutation test framework","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-matrixStats","R-multcomp","R-libcoin","R-CRAN-recommended","libgcc14","libgcc","R-modeltools","R-mvtnorm"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-e1071","R-xtable","R-vcd","R-TH.data"]}],"depends_on":[{"type":"lib","ports":["R-asht","R-party","R-RcmdrPlugin.coin"]},{"type":"test","ports":["R-censored","R-ggparty","R-interval","R-libcoin","R-mlt.docreg","R-multcomp","R-partykit","R-perm","R-sjstats","R-tram","R-tramnet","R-trtf","R-DeclareDesign","R-vcd","R-TH.data","R-afex"]}]},{"name":"R-caroline","portdir":"R/R-caroline","version":"0.9.9","license":"Artistic-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=caroline","description":"Collection of database, data structure, visualization and utility functions for R","long_description":"Collection of database, data structure, visualization and utility functions for R","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-DBI","R-gplots","R-RSQLite"]}],"depends_on":[]},{"name":"R-basefun","portdir":"R/R-basefun","version":"1.1-4","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=basefun","description":"Infrastructure for computing with basis functions","long_description":"Infrastructure for computing with basis functions","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-polynom","R-variables","R-CRAN-recommended","R-orthopolynom"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-coneproj"]}],"depends_on":[{"type":"lib","ports":["R-tbm","R-mlt","R-tramnet","R-cotram","R-tram","R-tramME"]},{"type":"test","ports":["R-mlt.docreg"]}]},{"name":"R-aod","portdir":"R/R-aod","version":"1.3.3","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=aod","description":"Analysis of Overdispersed Data","long_description":"Analysis of Overdispersed Data","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"]}],"depends_on":[{"type":"lib","ports":["R-ARDL","R-bootCT","R-xmeta"]},{"type":"test","ports":["R-tidycmprsk","R-cardx","R-ggeffects","R-gtsummary","R-insight","R-prediction","R-shrink","R-MuMIn","R-RcmdrPlugin.EZR"]}]},{"name":"R-ZIPG","portdir":"R/R-ZIPG","version":"1.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/roulan2000/ZIPG","description":"Zero-Inflated Poisson-Gamma regression","long_description":"Zero-Inflated Poisson-Gamma regression","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-pscl","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-Rvmmin","portdir":"R/R-Rvmmin","version":"2018-4.17.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Rvmmin","description":"Variable metric non-linear function minimization with bounds constraints","long_description":"Variable metric non-linear function minimization with bounds constraints","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-optextras","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-rmarkdown","R-knitr"]}],"depends_on":[{"type":"lib","ports":["R-optimr"]}]},{"name":"R-Rcgmin","portdir":"R/R-Rcgmin","version":"2022-4.30","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Rcgmin","description":"Conjugate gradient minimization of nonlinear functions with box constraints","long_description":"Conjugate gradient minimization of nonlinear functions with box constraints","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-optextras","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-numDeriv"]}],"depends_on":[{"type":"lib","ports":["R-optimr"]}]},{"name":"R-IsingSampler","portdir":"R/R-IsingSampler","version":"0.2.3","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=IsingSampler","description":"Sampling methods and distribution functions for the Ising model","long_description":"Sample states from the Ising model and compute the probability of states.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-plyr","R-dplyr","R-Rcpp","R-CRAN-recommended","R-magrittr"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-IsingFit"]}]},{"name":"R-IsingFit","portdir":"R/R-IsingFit","version":"0.4","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=IsingFit","description":"Fitting Ising models using the ELasso method","long_description":"Fitting Ising models using the ELasso method","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-glmnet","R-CRAN-recommended","R-qgraph"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-IsingSampler"]}],"depends_on":[]},{"name":"R-ARDL","portdir":"R/R-ARDL","version":"0.2.4","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=ARDL","description":"ARDL, ECM and bounds-test for cointegration","long_description":"ARDL, ECM and bounds-test for cointegration","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-dplyr","R-ggplot2","R-gridExtra","R-lmtest","R-dynlm","R-msm","R-aod","R-CRAN-recommended","R-stringr","R-zoo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-sandwich","R-testthat","R-tseries","R-strucchange","R-qpcR"]}],"depends_on":[{"type":"lib","ports":["R-bootCT"]}]},{"name":"parallel-hashmap","portdir":"devel/parallel-hashmap","version":"2.0.0","license":"Apache-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://greg7mdp.github.io/parallel-hashmap","description":"A family of header-only, very fast and memory-friendly hashmap and btree containers","long_description":"A family of header-only, very fast and memory-friendly hashmap and btree containers","active":true,"categories":["devel"],"maintainers":[],"variants":["debug","universal"],"dependencies":[{"type":"build","ports":["cmake","gtest","clang-20"]}],"depends_on":[]},{"name":"R-tsoutliers","portdir":"R/R-tsoutliers","version":"0.6-10","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=tsoutliers","description":"Detection of outliers in time series","long_description":"Detection of outliers in time series","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-forecast","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-UComp"]}]},{"name":"R-tourr","portdir":"R/R-tourr","version":"1.2.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://ggobi.github.io/tourr","description":"Tour methods for multivariate data visualisation","long_description":"Tour methods for multivariate data visualisation","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-dplyr","R-CRAN-recommended","R-tibble"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-rmarkdown","R-covr","R-plotly","R-energy","R-TeachingDemos","R-aplpack","R-ash","R-geozoo","R-colorspace","R-tidyr","R-ggplot2","R-knitr","R-testthat"]}],"depends_on":[{"type":"test","ports":["R-geozoo"]}]},{"name":"R-scoringRules","portdir":"R/R-scoringRules","version":"1.1.3","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/FK83/scoringRules","description":"Scoring rules for parametric and simulated distribution forecasts","long_description":"Scoring rules for parametric and simulated distribution forecasts","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-knitr","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-gsl","R-ggplot2","R-testthat","R-rmarkdown","R-hypergeo","R-crch"]}],"depends_on":[{"type":"lib","ports":["R-crch","R-telefit"]},{"type":"test","ports":["R-bamlss","R-bayesRecon","R-mvgam","R-rSPDE"]}]},{"name":"R-oglmx","portdir":"R/R-oglmx","version":"3.0.0.0","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=oglmx","description":"Estimation of ordered generalized linear models","long_description":"Estimation of ordered generalized linear models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-maxLik","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-glmx","R-lmtest"]}],"depends_on":[{"type":"test","ports":["R-texreg"]}]},{"name":"R-likelihoodR","portdir":"R/R-likelihoodR","version":"1.1.4","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=likelihoodR","description":"Likelihood analyses for common statistical tests","long_description":"Likelihood analyses for common statistical tests","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"]}],"depends_on":[]},{"name":"R-influential","portdir":"R/R-influential","version":"2.2.9","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://asalavaty.github.io/influential","description":"Identification and classification of the most influential nodes","long_description":"Identification and classification of the most influential nodes","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-foreach","R-BiocManager","R-janitor","R-ranger","R-coop","R-CRAN-recommended","R-data.table","R-doParallel","R-igraph","R-ggplot2"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-shinycssloaders","R-NNS","R-magrittr","R-nortest","R-knitr","R-shiny","R-shinyjs","R-shinythemes","R-DT","R-colourpicker","R-rmarkdown","R-readr","R-Hmisc","R-shinyWidgets"]}],"depends_on":[]}]}