{"count":52456,"next":"https://ports.macports.org/api/v1/search/?format=json&page=814","previous":"https://ports.macports.org/api/v1/search/?format=json&page=812","results":[{"maintainers":null,"variants":null,"name":"R-norMmix","description":"Direct MLE for multivariate normal mixture distributions","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.2-0"},{"maintainers":null,"variants":null,"name":"R-oaii","description":"OpenAI API R interface","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"0.5.0"},{"maintainers":null,"variants":null,"name":"R-pbANOVA","description":"Parametric Bootstrap for ANOVA models","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.1.0"},{"maintainers":null,"variants":null,"name":"R-plsmmLasso","description":"Variable selection and inference for partial semi-parametric linear mixed-effects model","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.1.0"},{"maintainers":null,"variants":null,"name":"R-pooh","description":"Partial orders and relations","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R","economics"],"version":"0.3-2"},{"maintainers":null,"variants":null,"name":"R-segen","description":"Sequence generalization through similarity network","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.1.0"},{"maintainers":null,"variants":null,"name":"R-statGraph","description":"Statistical methods for graphs","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.0.6"},{"maintainers":null,"variants":null,"name":"R-tdcmStan","description":"Automating the creation of Stan code for TDCMs","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"3.0.0"},{"maintainers":null,"variants":null,"name":"R-yodel","description":"General Bayesian model averaging helper","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.0.0"},{"maintainers":null,"variants":null,"name":"R-ATR","description":"Alternative Tree Representation","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"0.1-1"},{"maintainers":null,"variants":null,"name":"R-LDAvis","description":"Interactive visualization of topic models","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["textproc","science","R"],"version":"0.3.2"},{"maintainers":null,"variants":null,"name":"R-archdata","description":"Example datasets from archæological research","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"1.2-1"},{"maintainers":null,"variants":null,"name":"R-bs4Dash","description":"Bootstrap 4 version of R-shinydashboard","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"2.3.4"},{"maintainers":null,"variants":null,"name":"R-clustermq","description":"Evaluate function calls on HPC schedulers","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["devel","science","R"],"version":"0.9.5"},{"maintainers":null,"variants":null,"name":"R-gistr","description":"Work with GitHub Gists","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"0.9.0"},{"maintainers":null,"variants":null,"name":"R-googleCloudStorageR","description":"Interface with Google Cloud Storage API","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["devel","science","www","R"],"version":"0.7.0.9000"},{"maintainers":null,"variants":null,"name":"R-googleComputeEngineR","description":"R interface for Google Compute Engine","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","www","R"],"version":"0.3.0.9000"},{"maintainers":null,"variants":null,"name":"R-keyATM","description":"Keyword Assisted Topic Models","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["textproc","science","R"],"version":"0.5.2"},{"maintainers":null,"variants":null,"name":"R-measures","description":"Performance measures for statistical learning","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.3"},{"maintainers":null,"variants":null,"name":"R-mvinfluence","description":"Influence measures and diagnostic plots for multivariate linear models","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"0.9.0"},{"maintainers":null,"variants":null,"name":"R-qqtest","description":"Self-calibrating quantile-quantile plots","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"1.2.0"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-seededlda","description":"Seeded sequential LDA for topic modelling","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["textproc","science","R"],"version":"1.4.1"},{"maintainers":null,"variants":null,"name":"R-spacyr","description":"Wrapper to the spaCy NLP library","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["textproc","science","R"],"version":"1.3.0"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-stm","description":"Estimation of the Structural Topic Model","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["textproc","science","R"],"version":"1.3.7"},{"maintainers":null,"variants":null,"name":"R-textcat","description":"N-gram-based text categorization","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["textproc","science","R"],"version":"1.0-8"},{"maintainers":null,"variants":null,"name":"R-varImp","description":"RF variable importance for arbitrary measures","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.4"},{"maintainers":["ierofant"],"variants":null,"name":"py311-canmatrix","description":"Converting Can (Controller Area Network) Database Formats .arxml .dbc .dbf .kcd","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["devel","python"],"version":"1.0"},{"maintainers":["dbevans"],"variants":null,"name":"p5-chipcard-pcsc","description":"Chipcard::PCSC - Communicate with a smart card using PC/SC from a Perl script","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["perl"],"version":"1.4.16"},{"maintainers":["dbevans"],"variants":["universal"],"name":"p5.28-chipcard-pcsc","description":"Chipcard::PCSC - Communicate with a smart card using PC/SC from a Perl script","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["perl"],"version":"1.4.16"},{"maintainers":["dbevans"],"variants":["universal"],"name":"p5.30-chipcard-pcsc","description":"Chipcard::PCSC - Communicate with a smart card using PC/SC from a Perl script","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["perl"],"version":"1.4.16"},{"maintainers":["dbevans"],"variants":["universal"],"name":"p5.32-chipcard-pcsc","description":"Chipcard::PCSC - Communicate with a smart card using PC/SC from a Perl script","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["perl"],"version":"1.4.16"},{"maintainers":["dbevans"],"variants":["universal"],"name":"p5.34-chipcard-pcsc","description":"Chipcard::PCSC - Communicate with a smart card using PC/SC from a Perl script","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["perl"],"version":"1.4.16"},{"maintainers":null,"variants":["debug","tests","universal"],"name":"keychain-cpp","description":"Cross-platform wrapper for the OS credential storage","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["sysutils","security"],"version":"1.2.1"},{"maintainers":["petrrr"],"variants":null,"name":"py312-irodsclient","description":"A Python client for iRODS, a distributed data management system.","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["net","databases","science","python"],"version":"2.0.0"},{"maintainers":["petrrr"],"variants":null,"name":"py312-prettytable","description":"A simple Python library for easily displaying tabular data in a visually appealing ASCII table format.","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["textproc","python"],"version":"0.7.2"},{"maintainers":null,"variants":["debug","mbedtls","openssl","universal"],"name":"ixwebsocket","description":"C++ library for WebSocket client and server development","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["devel","net"],"version":"11.4.5"},{"maintainers":null,"variants":["debug"],"name":"cyan","description":"Cyan Graphics","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["graphics"],"version":"1.2.4"},{"maintainers":null,"variants":null,"name":"R-ABM","description":"Agent-Based Model simulation framework","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","R","economics"],"version":"0.4.1"},{"maintainers":null,"variants":null,"name":"R-FactoInvestigate","description":"Automatic description of factorial analysis","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"1.9"},{"maintainers":null,"variants":null,"name":"R-Factoshiny","description":"Perform factorial analysis from R-FactoMineR with an R-shiny application","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"2.6"},{"maintainers":null,"variants":null,"name":"R-area","description":"Calculate area of triangles and polygons","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.2.0"},{"maintainers":null,"variants":null,"name":"R-easybgm","description":"Extract and visualize Bayesian graphical models","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.1.2"},{"maintainers":null,"variants":null,"name":"R-eodhd","description":"R API for EODHD financial library","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","www","finance","R"],"version":"1.0.4"},{"maintainers":null,"variants":null,"name":"R-ggalt","description":"Extensions for R-ggplot2","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"0.4.0"},{"maintainers":null,"variants":null,"name":"R-labelr","description":"Label data frames, variables and values","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"0.1.9"},{"maintainers":null,"variants":null,"name":"R-missMDA","description":"Handling of missing values with multivariate data analysis","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"1.19"},{"maintainers":null,"variants":null,"name":"R-shinyjqui","description":"jQuery UI interactions and effects for R-shiny","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"0.4.1"},{"maintainers":null,"variants":null,"name":"R-sparklyr","description":"R Interface to Apache Spark","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"1.8.6"},{"maintainers":null,"variants":null,"name":"R-textshape","description":"Tools for reshaping text","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["textproc","science","R"],"version":"1.7.5"},{"maintainers":null,"variants":null,"name":"R-tsnet","description":"Fitting, comparing and visualizing networks, based on time series data","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.1.0"}]}