{"count":52477,"next":"https://ports.macports.org/api/v1/search/?format=json&page=765","previous":"https://ports.macports.org/api/v1/search/?format=json&page=763","results":[{"maintainers":null,"variants":null,"name":"R-Rdrw","description":"Univariate and multivariate damped random walk processes","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.0.2"},{"maintainers":null,"variants":null,"name":"R-SQL","description":"Execute SQL statements","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["databases","science","R"],"version":"0.1.1"},{"maintainers":null,"variants":null,"name":"R-TileDBArray","description":"Use TileDB as a DelayedArray backend","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["databases","science","R","bioconductor"],"version":"1.14.0"},{"maintainers":null,"variants":null,"name":"R-arrow","description":"Integration with Apache Arrow","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["devel","science","R"],"version":"18.1.0"},{"maintainers":null,"variants":null,"name":"R-bindr","description":"Parametrized active bindings","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["devel","science","R"],"version":"0.1.1"},{"maintainers":null,"variants":null,"name":"R-bindrcpp","description":"Rcpp interface to active bindings","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["devel","science","R"],"version":"0.2.3.9002"},{"maintainers":null,"variants":null,"name":"R-bnma","description":"Bayesian Network Meta-Analysis using JAGS","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.6.0"},{"maintainers":null,"variants":null,"name":"R-dLagM","description":"Time series regression models with distributed lag models","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.1.13"},{"maintainers":null,"variants":null,"name":"R-diffdfs","description":"Compute the difference between data frames","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"0.9.0"},{"maintainers":null,"variants":null,"name":"R-dst","description":"Use the theory of belief Functions for evidence calculus","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R","economics"],"version":"1.8.0"},{"maintainers":null,"variants":null,"name":"R-evclass","description":"Evidential distance-based classification","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"2.0.2"},{"maintainers":null,"variants":null,"name":"R-fasttime","description":"Fast utility function for time parsing and conversion","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"1.1-0"},{"maintainers":null,"variants":null,"name":"R-nardl","description":"Non-linear cointegrating autoregressive distributed lag model","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.1.6"},{"maintainers":null,"variants":null,"name":"R-nsyllable","description":"Count syllables in character vectors","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["textproc","science","R"],"version":"1.0.1"},{"maintainers":null,"variants":null,"name":"R-pkglite","description":"Compact package representations","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","R"],"version":"0.2.4"},{"maintainers":null,"variants":null,"name":"R-prettyGraphs","description":"Publication-quality graphics","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["graphics","science","R"],"version":"2.1.6"},{"maintainers":null,"variants":null,"name":"R-pvclust","description":"Hierarchical clustering with p-values via multiscale bootstrap resampling","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"2.2-0"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-quanteda.textstats","description":"Textual statistics for the Quantitative Analysis of Textual Data","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["textproc","science","R"],"version":"0.97.2"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-rego","description":"Automatic time series forecasting and missing value imputation","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","finance","R"],"version":"1.6.1"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-roll","description":"Fast and efficient computation of rolling and expanding statistics for time-series data","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","finance","R"],"version":"1.1.7"},{"maintainers":null,"variants":null,"name":"R-rrapply","description":"Revisiting Base Rapply","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["devel","science","R"],"version":"1.2.7"},{"maintainers":null,"variants":null,"name":"R-sfarrow","description":"Read/write Simple Feature Objects with Apache Arrow","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.4.1"},{"maintainers":null,"variants":null,"name":"R-svs","description":"Tools for semantic vector spaces","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"3.1.1"},{"maintainers":null,"variants":null,"name":"R-tiledb","description":"Universal storage engine for sparse and dense multidimensional arrays","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["databases","science","R"],"version":"0.30.2"},{"maintainers":null,"variants":null,"name":"R-zebu","description":"Local association measures","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.2.2.0"},{"maintainers":["herbygillot"],"variants":["universal"],"name":"libqb","description":"libqb is a library providing high performance logging, tracing, IPC, and poll.","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["devel"],"version":"2.0.8"},{"maintainers":null,"variants":["debug"],"name":"thrust","description":"The C++ parallel algorithms library","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["devel","parallel"],"version":"2.4.0"},{"maintainers":null,"variants":null,"name":"R-ISLR","description":"Data for an Introduction to Statistical Learning with Applications in R","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"1.4"},{"maintainers":null,"variants":null,"name":"R-aplore3","description":"Datasets from Applied Logistic Regression (3rd Ed., 2013)","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"0.9"},{"maintainers":["danchr"],"variants":null,"name":"docker-compose-plugin","description":"Define and run multi-container applications with Docker","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["devel"],"version":"2.36.2"},{"maintainers":null,"variants":null,"name":"py311-helpdev","description":"HelpDev - Extracts information about the Python environment easily.","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["devel","python"],"version":"0.7.1"},{"maintainers":["MarcusCalhoun-Lopez"],"variants":["universal"],"name":"py311-libsass","description":"Python binding for libsass","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["devel","python"],"version":"0.23.0"},{"maintainers":["reneeotten"],"variants":null,"name":"py311-numpydoc","description":"Sphinx extension to support docstrings in Numpy format","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python"],"version":"1.10.0"},{"maintainers":["reneeotten"],"variants":null,"name":"py311-pyls-spyder","description":"Spyder extensions for the python-language-server","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["devel","python"],"version":"0.4.0"},{"maintainers":["petrrr"],"variants":null,"name":"py311-qdarkstyle","description":"A dark stylesheet for Python and Qt applications","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["devel","python"],"version":"3.2.3"},{"maintainers":["MarcusCalhoun-Lopez"],"variants":null,"name":"py311-qtsass","description":"compile SCSS files to Qt stylesheets","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["devel","python"],"version":"0.4.0"},{"maintainers":null,"variants":["universal"],"name":"unifdef","description":"selectively remove C preprocessor conditionals","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["devel"],"version":"2.12"},{"maintainers":null,"variants":null,"name":"py-access","description":"Spatial Access for PySAL (access)","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python","gis"],"version":"1.1.10.post3"},{"maintainers":null,"variants":null,"name":"py310-access","description":"Spatial Access for PySAL (access)","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python","gis"],"version":"1.1.10.post3"},{"maintainers":null,"variants":null,"name":"py311-access","description":"Spatial Access for PySAL (access)","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python","gis"],"version":"1.1.10.post3"},{"maintainers":null,"variants":null,"name":"py-giddy","description":"GeospatIal Distribution DYnamics (giddy)","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["python","gis"],"version":"2.3.6"},{"maintainers":null,"variants":null,"name":"py310-giddy","description":"GeospatIal Distribution DYnamics (giddy)","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python","gis"],"version":"2.3.6"},{"maintainers":null,"variants":null,"name":"py311-giddy","description":"GeospatIal Distribution DYnamics (giddy)","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python","gis"],"version":"2.3.6"},{"maintainers":null,"variants":null,"name":"py-inequality","description":"Spatial Inequality Analysis (inequality)","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python","gis"],"version":"1.1.2"},{"maintainers":null,"variants":null,"name":"py310-inequality","description":"Spatial Inequality Analysis (inequality)","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["python","gis"],"version":"1.1.1"},{"maintainers":null,"variants":null,"name":"py311-inequality","description":"Spatial Inequality Analysis (inequality)","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python","gis"],"version":"1.1.2"},{"maintainers":null,"variants":null,"name":"py-mgwr","description":"Multiscale Geographically Weighted Regression (mgwr)","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python","gis"],"version":"2.2.1"},{"maintainers":null,"variants":null,"name":"py310-mgwr","description":"Multiscale Geographically Weighted Regression (mgwr)","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python","gis"],"version":"2.2.1"},{"maintainers":null,"variants":null,"name":"py311-mgwr","description":"Multiscale Geographically Weighted Regression (mgwr)","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python","gis"],"version":"2.2.1"},{"maintainers":null,"variants":null,"name":"py-momepy","description":"Urban Morphology Measuring Toolkit (momepy)","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["python","gis"],"version":"0.10.0"}]}