{"count":52480,"next":"https://ports.macports.org/api/v1/search/?format=json&page=756","previous":"https://ports.macports.org/api/v1/search/?format=json&page=754","results":[{"maintainers":["sergiolms"],"variants":null,"name":"gk","description":"Official CLI for GitKraken","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["devel"],"version":"3.1.61"},{"maintainers":["trachten"],"variants":["debug","universal"],"name":"gensync","description":"Gensync: a library for efficient synchronization of data over a network","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["devel","net"],"version":"2.1.0"},{"maintainers":["gcenx","jasonliu--"],"variants":["manifest"],"name":"MoltenVK-latest","description":"an implementation of Vulkan for Metal","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["graphics"],"version":"1.4.1"},{"maintainers":["gcenx","jasonliu--"],"variants":["manifest"],"name":"MoltenVK-1.1.9","description":"an implementation of Vulkan for Metal","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["graphics"],"version":"1.1.9"},{"maintainers":null,"variants":null,"name":"R-IRTest","description":"Parameter estimation of item response theory with estimation of latent distribution","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"2.0.0"},{"maintainers":null,"variants":null,"name":"R-KRLS","description":"Kernel-based Regularized Least Squares","livecheck_broken":true,"livecheck_outdated":false,"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-MCMCprecision","description":"Precision of discrete parameters in transdimensional MCMC","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","math","R"],"version":"0.4.0"},{"maintainers":null,"variants":null,"name":"R-MTest","description":"Procedure for multicollinearity testing using bootstrap","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","math","R"],"version":"1.0.2"},{"maintainers":null,"variants":null,"name":"R-NBtsVarSel","description":"Variable selection in a specific regression time series of counts","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.0"},{"maintainers":null,"variants":null,"name":"R-NMA","description":"Network meta-analysis based on multivariate meta-analysis models","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"1.4-3"},{"maintainers":null,"variants":null,"name":"R-PStrata","description":"Principal stratification analysis in R","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","math","R"],"version":"0.0.5"},{"maintainers":null,"variants":null,"name":"R-RDSsamplesize","description":"RDS sample size estimation and power calculation","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.5.0"},{"maintainers":null,"variants":null,"name":"R-betafunctions","description":"Functions for working with two- and four-parameter Beta probability distributions and psychometric analysis of classifications","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.9.0"},{"maintainers":null,"variants":null,"name":"R-cnbdistr","description":"Conditional Negative Binomial Distribution","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.0.1"},{"maintainers":null,"variants":null,"name":"R-correlbinom","description":"Correlated Binomial probabilities","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.0.1"},{"maintainers":null,"variants":null,"name":"R-coxphSGD","description":"Stochastic gradient descent log-likelihood estimation in Cox proportional hazards model","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.2.1"},{"maintainers":null,"variants":null,"name":"R-dslabs","description":"Datasets and functions that can be used for data analysis practice, homework and projects in data science courses and workshops","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","R"],"version":"0.8.0"},{"maintainers":null,"variants":null,"name":"R-ecd","description":"Elliptic Lambda distribution and option pricing model","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","finance","R"],"version":"0.9.2.4"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-fDMA","description":"Dynamic model averaging and dynamic model selection for continuous outcomes","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","math","R"],"version":"2.2.7"},{"maintainers":null,"variants":null,"name":"R-fnets","description":"Factor-adjusted network estimation and forecasting for high-dimensional time series","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.1.6"},{"maintainers":null,"variants":null,"name":"R-hosm","description":"High Order Spatial Matrix","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"0.1.0"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-kazaam","description":"Tools for tall distributed matrices","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.1-0"},{"maintainers":null,"variants":null,"name":"R-lg","description":"Locally Gaussian distributions – estimation and methods","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.4.1"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-localgauss","description":"Estimation of local Gaussian parameters","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.41"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-multinomialLogitMix","description":"Clustering multinomial count data under the presence of covariates","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.1"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-puniform","description":"Meta-analysis methods correcting for publication bias","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.2.7"},{"maintainers":null,"variants":null,"name":"R-r.jive","description":"JIVE decomposition for multi-source data","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","R"],"version":"2.4"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-tsPI","description":"Improved prediction intervals for ARIMA processes and structural time series","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.0.4"},{"maintainers":null,"variants":null,"name":"R-varSelRF","description":"Variable Selection via Random Forests","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.7-8"},{"maintainers":null,"variants":null,"name":"R-vcov","description":"Variance-covariance matrices and standard errors","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.0.1"},{"maintainers":["mascguy"],"variants":["debug","tests","universal"],"name":"protobuf3-cpp-upstream","description":"Encode data in an efficient yet extensible format.","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["devel"],"version":"3.29.5"},{"maintainers":["jasonliu--"],"variants":["debug","re2c","examples","docs","universal"],"name":"libcaption","description":"free, open-source CEA-608/-708 closed-caption encoder/decoder","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["multimedia"],"version":"0.7"},{"maintainers":null,"variants":null,"name":"mysql81","description":"Obsolete port, replaced by mysql8","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["databases"],"version":"8.1.0"},{"maintainers":null,"variants":null,"name":"mysql81-server","description":"Obsolete port, replaced by mysql8-server","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["databases"],"version":"8.1.0"},{"maintainers":["macportsraf"],"variants":null,"name":"py-nameutils","description":"Identify given/family names and capitalize correctly","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["python"],"version":"1.0.0"},{"maintainers":["macportsraf"],"variants":null,"name":"py310-nameutils","description":"Identify given/family names and capitalize correctly","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python"],"version":"1.0.0"},{"maintainers":["macportsraf"],"variants":null,"name":"py311-nameutils","description":"Identify given/family names and capitalize correctly","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["python"],"version":"1.0.0"},{"maintainers":null,"variants":null,"name":"R-Directional","description":"Collection of functions for directional data analysis","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","math","R"],"version":"7.0"},{"maintainers":null,"variants":null,"name":"R-EXPARMA","description":"Fitting of exponential autoregressive moving average (EXPARMA) model","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.1.0"},{"maintainers":null,"variants":null,"name":"R-L2hdchange","description":"L2 inference for change points in high-dimensional time series","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.0"},{"maintainers":null,"variants":null,"name":"R-RMariaDB","description":"Database interface and MariaDB driver","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["databases","science","R"],"version":"1.3.3"},{"maintainers":null,"variants":null,"name":"R-Rpcop","description":"Principal curves of oriented points","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.1"},{"maintainers":null,"variants":null,"name":"R-SEMID","description":"Identifiability of linear structural equation models","livecheck_broken":false,"livecheck_outdated":true,"active":true,"categories":["science","math","R"],"version":"0.4.1"},{"maintainers":null,"variants":null,"name":"R-ctmva","description":"Continuous-Time Multivariate Analysis","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.4.0"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-dsfa","description":"Distributional Stochastic Frontier Analysis","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"2.0.2"},{"maintainers":null,"variants":null,"name":"R-frab","description":"Alternative interpretation of named vectors","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.0-6"},{"maintainers":null,"variants":null,"name":"R-gnlm","description":"Generalized non-linear regression models","livecheck_broken":false,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"1.1.1"},{"maintainers":null,"variants":null,"name":"R-gratia","description":"Graceful ggplot-based graphics and other functions for GAMs fitted with R-mgcv","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["graphics","science","R"],"version":"0.9.2"},{"maintainers":null,"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"name":"R-minimaxApprox","description":"Implementation of Remez algorithm for polynomial and rational function approximation","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.4.3"},{"maintainers":null,"variants":null,"name":"R-numGen","description":"A number series generator that creates number series items based on cognitive models","livecheck_broken":true,"livecheck_outdated":false,"active":true,"categories":["science","math","R"],"version":"0.1.1"}]}