{"count":52480,"next":"https://ports.macports.org/api/v1/search/?format=json&page=749","previous":"https://ports.macports.org/api/v1/search/?format=json&page=747","results":[{"maintainers":null,"variants":null,"name":"R-DPtree","description":"Dirichlet-based Polya Tree","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.0.1"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-DstarM","description":"Analyze two choice reaction time data with the D*M method","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","math","R"],"version":"0.4.0"},{"maintainers":null,"variants":null,"name":"R-NCA","description":"Necessary Condition Analysis","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"4.0.1"},{"maintainers":null,"variants":null,"name":"R-ROI.plugin.ecos","description":"ECOS plug-in for the R Optimization Infrastructure","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.0-2"},{"maintainers":null,"variants":null,"name":"R-ROI.plugin.scs","description":"SCS plug-in for the R Optimization Infrastructure","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.1-2"},{"maintainers":null,"variants":null,"name":"R-TSS.RESTREND","description":"Time Series Segmentation of Residual Trends","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"0.3.1"},{"maintainers":null,"variants":null,"name":"R-autoTS","description":"Automatic model selection and prediction for univariate time series","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.9.11"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-bigsplines","description":"Smoothing splines for large samples","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.1-1"},{"maintainers":null,"variants":null,"name":"R-clogitLasso","description":"Sparse conditional logistic regression for matched studies","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.1"},{"maintainers":null,"variants":null,"name":"R-dineq","description":"Decomposition of (income) inequality","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","R","economics"],"version":"0.1.0"},{"maintainers":null,"variants":null,"name":"R-dng","description":"Distributions and Gradients","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","math","R"],"version":"0.2.1"},{"maintainers":null,"variants":null,"name":"R-gtop","description":"Game-Theoretically OPtimal (GTOP) reconciliation method","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.2.0"},{"maintainers":null,"variants":null,"name":"R-holiglm","description":"Holistic generalized linear models","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","math","R"],"version":"1.0.0"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-lassoshooting","description":"L1-regularized regression (lasso) solver using the cyclic coordinate descent algorithm","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.1.5-1.1"},{"maintainers":null,"variants":null,"name":"R-lmodel2","description":"Model II regression","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.7-3"},{"maintainers":null,"variants":null,"name":"R-logiBin","description":"Binning variables to use in logistic regression","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.3"},{"maintainers":null,"variants":null,"name":"R-lorenz","description":"Tools for deriving income inequality estimates from grouped income data","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","R","economics"],"version":"0.1.0"},{"maintainers":null,"variants":null,"name":"R-mblm","description":"Median-Based Linear Models","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.12.1"},{"maintainers":null,"variants":null,"name":"R-mme","description":"Multinomial mixed effects models","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.1-6"},{"maintainers":null,"variants":null,"name":"R-nestfs","description":"Cross-validated (nested) forward selection","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.0.3"},{"maintainers":null,"variants":null,"name":"R-polyCub","description":"Cubature over polygonal domains","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","math","R"],"version":"0.9.1"},{"maintainers":null,"variants":null,"name":"R-primefactr","description":"Use prime factorization for simplifying computations","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.1.1"},{"maintainers":null,"variants":null,"name":"R-prodest","description":"Production function estimation","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R","economics"],"version":"1.0.1"},{"maintainers":null,"variants":null,"name":"R-r6methods","description":"Add methods to R6 class definition","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["devel","science","R"],"version":"0.1.0"},{"maintainers":null,"variants":null,"name":"R-sqliteutils","description":"Utility functions for SQLite","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["databases","science","R"],"version":"0.1.0"},{"maintainers":["emcrisostomo"],"variants":null,"name":"py311-python-dotenv","description":"Add .env support to your django/flask apps in development and deployments","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["devel","python"],"version":"1.2.2"},{"maintainers":["judaew"],"variants":null,"name":"py311-aiofiles","description":"File support for asyncio.","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python"],"version":"25.1.0"},{"maintainers":null,"variants":null,"name":"py311-aiosqlite","description":"asyncio bridge to the standard sqlite3 module","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["devel","python"],"version":"0.21.0"},{"maintainers":null,"variants":null,"name":"py310-overrides","description":"A decorator to automatically detect mismatch when overriding a method","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["devel","python"],"version":"7.7.0"},{"maintainers":null,"variants":null,"name":"py311-overrides","description":"A decorator to automatically detect mismatch when overriding a method","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["devel","python"],"version":"7.7.0"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-quantregForest","description":"Quantile Regression Forests","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.3-7"},{"maintainers":["lmkra"],"variants":["universal"],"name":"uacme","description":"ACMEv2 client written in plain C with minimal dependencies","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["security"],"version":"1.8.0"},{"maintainers":null,"variants":null,"name":"R-CopulaCenR","description":"Copula-based regression models for multivariate censored data","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","math","R"],"version":"1.2.3"},{"maintainers":null,"variants":null,"name":"R-ICcalib","description":"Cox model with interval-censored starting time of a covariate","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.0.8"},{"maintainers":null,"variants":null,"name":"R-ICsurv","description":"Semi-parametric regression analysis of interval-censored data","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.0.1"},{"maintainers":null,"variants":null,"name":"R-Zseq","description":"Integer sequence generator","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","math","R"],"version":"0.2.1"},{"maintainers":null,"variants":null,"name":"R-abe","description":"Augmented Backward Elimination","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","math","R"],"version":"3.0.1"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-dplR","description":"Dendrochronology Program Library in R","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"1.7.7"},{"maintainers":null,"variants":null,"name":"R-kader","description":"Kernel adaptive density estimation and regression","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.0.8"},{"maintainers":null,"variants":null,"name":"R-kantorovich","description":"Kantorovich distance between probability measures","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"3.2.0"},{"maintainers":null,"variants":null,"name":"R-kcopula","description":"Bivariate k-copula","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.1.0"},{"maintainers":null,"variants":null,"name":"R-lpdensity","description":"Local polynomial density estimation and inference","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"2.5"},{"maintainers":null,"variants":null,"name":"R-maq","description":"Multi-Armed Qini","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.5.0"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-mombf","description":"Model selection with Bayesian methods and information criteria","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"3.5.4"},{"maintainers":null,"variants":null,"name":"R-nullabor","description":"Tools for graphical inference","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.3.12"},{"maintainers":null,"variants":null,"name":"R-rMultiNet","description":"Multi-layer networks analysis","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.1"},{"maintainers":null,"variants":null,"name":"R-rddensity","description":"Manipulation testing based on density discontinuity","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R","economics"],"version":"2.5"},{"maintainers":null,"variants":null,"name":"R-rgeoda","description":"R library for spatial data analysis","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.0.10-4"},{"maintainers":null,"variants":null,"name":"R-saemix","description":"Stochastic approximation expectation maximization (SAEM) algorithm","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"3.3"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-sgd","description":"Stochastic gradient descent for scalable estimation","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.1.2"}]}