{"count":51978,"next":"https://ports.macports.org/api/v1/ports/?format=json&ordering=name&page=917","previous":"https://ports.macports.org/api/v1/ports/?format=json&ordering=name&page=915","results":[{"name":"R-gambin","portdir":"R/R-gambin","version":"2.5.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gambin","description":"Fit the gambin model to species abundance distributions","long_description":"Fit the gambin model to species abundance distributions","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-foreach","R-CRAN-recommended","R-gtools","R-doParallel"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[{"type":"test","ports":["R-fitteR"]}]},{"name":"R-gamboostLSS","portdir":"R/R-gamboostLSS","version":"2.0-7","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamboostLSS","description":"Boosting methods for GAMLSS","long_description":"Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high-dimensional data.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-mboost","R-stabs","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-stabs"]}]},{"name":"R-gamclass","portdir":"R/R-gamclass","version":"0.62.5","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamclass","description":"Functions and data for a course on modern regression and classification","long_description":"Functions and data for a course on modern regression and classification","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-latticeExtra","R-randomForest","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-gamCopula","portdir":"R/R-gamCopula","version":"0.0-7","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamCopula","description":"Generalized additive models for bivariate conditional dependence structures and vine copulas","long_description":"Generalized additive models for bivariate conditional dependence structures and vine copulas","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-igraph","R-doParallel","R-foreach","R-gsl","R-VineCopula","R-CRAN-recommended","R-copula","R-numDeriv"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-GameTheory","portdir":"R/R-GameTheory","version":"2.7.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=GameTheory","description":"Cooperative Game Theory","long_description":"Cooperative Game Theory","active":true,"categories":["science","math","R","economics"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-ineq","R-kappalab","R-lpSolveAPI","R-CRAN-recommended","R-gtools","R-combinat"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-R.rsp"]}],"depends_on":[{"type":"lib","ports":["R-coopProductGame"]}]},{"name":"R-GameTheoryAllocation","portdir":"R/R-GameTheoryAllocation","version":"1.0","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=GameTheoryAllocation","description":"Tools for calculating allocations in Game Theory","long_description":"Tools for calculating allocations in Game Theory","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-e1071","R-lpSolveAPI","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-gam.hp","portdir":"R/R-gam.hp","version":"0.0-2","license":"GPL","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/laijiangshan/gam.hp","description":"Hierarchical partitioning of adjusted R2 and explained deviance for generalized additive models","long_description":"Hierarchical partitioning of adjusted R2 and explained deviance for generalized additive models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-ggplot2","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-gamlr","portdir":"R/R-gamlr","version":"1.13-8","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamlr","description":"Gamma lasso regression","long_description":"Gamma lasso regression","active":true,"categories":["science","math","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-bolasso","R-distrom","R-textir"]}]},{"name":"R-gamlss","portdir":"R/R-gamlss","version":"5.4-22","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://www.gamlss.com","description":"Generalised Additive Models for Location Scale and Shape","long_description":"Generalised Additive Models for Location Scale and Shape","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-gamlss.dist","R-CRAN-recommended","R-gamlss.data"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-distributions3"]}],"depends_on":[{"type":"lib","ports":["R-DiscreteDists","R-gamlss.countKinf","R-gamlss.foreach","R-gamlss.ggplots","R-gamlss.inf","R-gamlss.lasso","R-gamlss.mx","R-gamlss.spatial","R-gamlss.tr","R-gamlss.add","R-gamlss.cens"]},{"type":"test","ports":["R-MuMIn","R-bamlss","R-broom.mixed","R-ggeffects","R-insight","R-modelsummary","R-texreg","R-tram"]}]},{"name":"R-gamlss.add","portdir":"R/R-gamlss.add","version":"5.1-13","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/gamlss-dev/gamlss.add","description":"Extra additive terms for generalized additive models for location scale and shape","long_description":"Interface for extra smooth functions including tensor products, neural networks and decision trees.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-gamlss","R-gamlss.dist","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-gamlss.spatial"]}]},{"name":"R-gamlss.cens","portdir":"R/R-gamlss.cens","version":"5.0-7","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamlss.cens https://www.gamlss.com","description":"Fitting an interval response variable using gamlss.family distributions","long_description":"Fitting an interval response variable using gamlss.family distributions","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-gamlss","R-gamlss.dist","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-gamlss.inf"]}]},{"name":"R-gamlss.countKinf","portdir":"R/R-gamlss.countKinf","version":"3.5.1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamlss.countKinf","description":"Generating and fitting k-inflated discrete gamlss.family distributions","long_description":"Generating and fitting k-inflated discrete gamlss.family distributions","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-gamlss","R-gamlss.dist","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-gamlss.data","portdir":"R/R-gamlss.data","version":"6.0-6","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamlss.data","description":"Data for generalised additive models for location scale and shape","long_description":"Data for generalised additive models for location scale and shape","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-gamlss","R-gamlss.foreach"]},{"type":"test","ports":["R-broom.mixed","R-insight","R-mlt.docreg","R-tbm"]}]},{"name":"R-gamlss.dist","portdir":"R/R-gamlss.dist","version":"6.1-1","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamlss.dist","description":"Distributions for generalized additive models for location scale and shape","long_description":"Distributions for generalized additive models for location scale and shape","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-distributions3"]}],"depends_on":[{"type":"lib","ports":["R-DiscreteDists","R-ExGaussEstim","R-GJRM","R-PReMiuM","R-asymmetry.measures","R-gamlss.tr","R-orders","R-scModels","R-gamlss","R-gamlss.add","R-gamlss.cens","R-gamlss.countKinf","R-gamlss.foreach","R-gamlss.ggplots","R-gamlss.inf","R-gamlss.mx","R-gamlss.spatial"]},{"type":"test","ports":["R-bamlss","R-fitdistrplus","R-tramME"]}]},{"name":"R-gamlss.foreach","portdir":"R/R-gamlss.foreach","version":"1.1-6","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamlss.foreach","description":"Parallel computations for distributional regression","long_description":"Parallel computations for distributional regression","active":true,"categories":["science","math","parallel","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-glmnet","R-gamlss.data","R-gamlss","R-doParallel","R-CRAN-recommended","R-gamlss.dist","R-foreach"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-gamlss.ggplots"]}]},{"name":"R-gamlss.ggplots","portdir":"R/R-gamlss.ggplots","version":"2.1-12","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/gamlss-dev/gamlss.ggplots","description":"Plotting functions for generalised additive models for location scale and shape","long_description":"Plotting functions for generalised additive models for location scale and shape","active":true,"categories":["graphics","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-foreach","R-ellipse","R-yaImpute","R-gamlss","R-gamlss.dist","R-gamlss.foreach","R-gamlss.inf","R-CRAN-recommended","R-ggplot2","R-ggridges"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-reshape2","R-gridExtra","R-igraph","R-glmnet","R-networkD3"]}],"depends_on":[]},{"name":"R-gamlss.inf","portdir":"R/R-gamlss.inf","version":"1.0-1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamlss.inf","description":"Fitting mixed (inflated and adjusted) distributions","long_description":"Fitting mixed (inflated and adjusted) distributions","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-gamlss","R-gamlss.dist"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-gamlss.cens","R-gamlss.tr"]}],"depends_on":[{"type":"lib","ports":["R-gamlss.ggplots"]}]},{"name":"R-gamlss.lasso","portdir":"R/R-gamlss.lasso","version":"1.0-1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamlss.lasso","description":"Extra lasso-type additive terms for GAMLSS","long_description":"Extra lasso-type additive terms for GAMLSS","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-gamlss","R-glmnet","R-CRAN-recommended","R-lars"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-gamlss.mx","portdir":"R/R-gamlss.mx","version":"6.0-1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamlss.mx","description":"Fit mixture distributions with GAMLSS","long_description":"Fit mixture distributions with GAMLSS","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-gamlss","R-gamlss.dist","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-gamlss.spatial","portdir":"R/R-gamlss.spatial","version":"3.0-2","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamlss.spatial","description":"Spatial terms in generalized additive models for location scale and shape models","long_description":"Spatial terms in generalized additive models for location scale and shape models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-gamlss.add","R-CRAN-recommended","R-spam","R-gamlss.dist","R-gamlss"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-maptools","R-spdep"]}],"depends_on":[]},{"name":"R-gamlss.tr","portdir":"R/R-gamlss.tr","version":"5.1-9","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamlss.tr","description":"Generating and fitting truncated gamlss.family distributions","long_description":"Generating and fitting truncated gamlss.family distributions","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-gamlss","R-gamlss.dist","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-gamlss.inf"]}]},{"name":"R-gamm4","portdir":"R/R-gamm4","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=gamm4","description":"Generalized Additive Mixed Models using mgcv and lme4","long_description":"Generalized Additive Mixed Models using mgcv and lme4","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-refund","R-mgcViz","R-projpred"]},{"type":"test","ports":["R-datawizard","R-ggeffects","R-gratia","R-insight","R-lme4","R-modelbased","R-performance","R-rstanarm","R-MuMIn","R-tramME","R-bayestestR","R-buildmer"]}]},{"name":"R-Gammareg","portdir":"R/R-Gammareg","version":"3.0.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Gammareg","description":"Classic Gamma regression: joint modelling of mean and shape parameters","long_description":"Classic Gamma regression: joint modelling of mean and shape parameters","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-gammSlice","portdir":"R/R-gammSlice","version":"2.0-2","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gammSlice","description":"Generalized additive mixed model analysis via slice sampling","long_description":"Generalized additive mixed model analysis via slice sampling","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","libgcc14","libgcc"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-gamreg","portdir":"R/R-gamreg","version":"0.3","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamreg","description":"Robust and sparse regression via Gamma-divergence","long_description":"Robust and sparse regression via Gamma-divergence","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-doParallel","R-foreach","R-glmnet","R-robustHD","R-CRAN-recommended","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-mvtnorm"]}],"depends_on":[]},{"name":"R-gamRR","portdir":"R/R-gamRR","version":"0.7.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamRR","description":"Calculate the relative risk for the GAM","long_description":"Calculate the relative risk for the GAM","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-gamselBayes","portdir":"R/R-gamselBayes","version":"2.0-1","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gamselBayes","description":"Bayesian generalized additive model selection","long_description":"Bayesian generalized additive model selection","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":[]},{"name":"R-gap","portdir":"R/R-gap","version":"1.6","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://jinghuazhao.github.io/R","description":"Genetic Analysis Package","long_description":"Genetic Analysis Package","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-Rdpack","R-plotly","R-gap.datasets","libgcc","libgcc14","R-CRAN-recommended","R-dplyr","R-ggplot2"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-BayesianTools","R-DHARMa"]}]},{"name":"R-gap.datasets","portdir":"R/R-gap.datasets","version":"0.0.6","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://jinghuazhao.github.io/R","description":"Datasets for R-gap","long_description":"Datasets for R-gap","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-gap"]}]},{"name":"R-gapminder","portdir":"R/R-gapminder","version":"1.0.0","license":"public-domain","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/jennybc/gapminder","description":"Data from Gapminder.org","long_description":"Data from Gapminder.org","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended","R-tibble"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-rmarkdown","R-dplyr","R-ggplot2","R-knitr","R-testthat"]}],"depends_on":[{"type":"test","ports":["R-av","R-fic","R-ggcharts","R-highcharter","R-magick","R-margins","R-shiny.semantic","R-tibbletime","R-trelliscopejs","R-unjoin"]}]},{"name":"R-garchx","portdir":"R/R-garchx","version":"1.5","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/gsucarrat/garchx","description":"Flexible and robust GARCH-X modelling","long_description":"Flexible and robust GARCH-X modelling","active":true,"categories":["science","finance","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-zoo","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-tvgarch","R-lgarch"]}],"depends_on":[{"type":"lib","ports":["R-tvgarch"]}]},{"name":"R-gargle","portdir":"R/R-gargle","version":"1.5.2","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://gargle.r-lib.org","description":"Manage the life cycle of your exported functions and arguments","long_description":"Manage the life cycle of your exported functions and arguments","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-jsonlite","R-rlang","R-glue","R-lifecycle","R-withr","R-rappdirs","R-httr","R-openssl","R-CRAN-recommended","R-cli","R-fs"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-httpuv","R-knitr","R-testthat","R-rmarkdown","R-covr","R-sodium","R-spelling","R-aws.ec2metadata","R-aws.signature"]}],"depends_on":[{"type":"lib","ports":["R-bigrquery","R-gmailr","R-googleAnalyticsR","R-googleAuthR","R-googledrive","R-googlesheets4"]},{"type":"test","ports":["R-targets"]}]},{"name":"R-garma","portdir":"R/R-garma","version":"0.9.23","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=garma","description":"Fitting and forecasting Gegenbauer ARMA time series models","long_description":"Fitting and forecasting Gegenbauer ARMA time series models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-signal","R-zoo","R-ggplot2","R-lubridate","R-nloptr","R-forecast","R-pracma","R-Rsolnp","R-CRAN-recommended","R-rlang","R-crayon"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown","R-yardstick","R-longmemo"]}],"depends_on":[]},{"name":"R-garray","portdir":"R/R-garray","version":"1.1.2","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=garray","description":"Generalized array arithmetic for ragged arrays with named margins","long_description":"Generalized array arithmetic for ragged arrays with named margins","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-gasmodel","portdir":"R/R-gasmodel","version":"0.6.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/vladimirholy/gasmodel","description":"Generalized autoregressive score models","long_description":"Generalized autoregressive score models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-mvnfast","R-dplyr","R-tidyr","R-ggplot2","R-nloptr","R-pracma","R-copula","R-CircStats","R-arrangements","R-CRAN-recommended","R-abind","R-numDeriv"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-hms","R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-gasper","portdir":"R/R-gasper","version":"1.1.6","license":"LGPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/fabnavarro/gasper","description":"Graph Signal Processing","long_description":"Provides the standard operations for signal processing on graphs – graph Fourier transform, spectral graph wavelet transform, visualization tools. It also implements a data-driven method for graph signal denoising/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-curl","R-ggplot2","R-httr","R-RSpectra","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown","R-rvest","R-kableExtra"]}],"depends_on":[]},{"name":"R-gaston","portdir":"R/R-gaston","version":"1.6","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gaston","description":"Genetic data handling and linear mixed models","long_description":"Genetic data handling (QC, GRM, LD, PCA) and linear mixed models.","active":true,"categories":["science","biology","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppEigen","R-RcppParallel","R-CRAN-recommended","zlib","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr"]}],"depends_on":[{"type":"test","ports":["R-bigsnpr"]}]},{"name":"R-gausscov","portdir":"R/R-gausscov","version":"1.1.3","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gausscov","description":"Gaussian covariate method for variable selection","long_description":"Gaussian covariate method for variable selection","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","libgcc14","libgcc"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-gaussDiff","portdir":"R/R-gaussDiff","version":"1.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gaussDiff","description":"Difference measures for multivariate Gaussian probability density functions","long_description":"Difference measures for multivariate Gaussian probability density functions","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-GaussianHMM1d","portdir":"R/R-GaussianHMM1d","version":"1.1.1","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=GaussianHMM1d","description":"Inference, goodness-of-fit and forecast for univariate Gaussian hidden Markov models","long_description":"Inference, goodness-of-fit and forecast for univariate Gaussian hidden Markov models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-doParallel","R-foreach","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-gaussquad","portdir":"R/R-gaussquad","version":"1.0-3","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gaussquad","description":"Collection of functions for gaussian quadrature","long_description":"Collection of functions for gaussian quadrature","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-orthopolynom","R-polynom","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-MixedPoisson","R-nlsem"]}]},{"name":"rgb","portdir":"x11/rgb","version":"1.0.6","license":"X11","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://www.x.org/","description":"Display a color name database","long_description":"Display a color name database","active":true,"categories":["sysutils","x11"],"maintainers":[{"name":"jeremyhu","github":"jeremyhu","ports_count":303}],"variants":["universal"],"dependencies":[{"type":"build","ports":["pkgconfig","xorg-xorgproto","clang-18"]}],"depends_on":[{"type":"lib","ports":["camlimages"]},{"type":"run","ports":["xorg-apps"]}]},{"name":"R-gb","portdir":"R/R-gb","version":"2.3.3","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gb","description":"Generalized Lambda distribution and generalized bootstrapping","long_description":"Generalized Lambda distribution and generalized bootstrapping","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","libgcc14","libgcc"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-fitteR"]}]},{"name":"R-GB2","portdir":"R/R-GB2","version":"2.1.1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=GB2","description":"Generalized Beta distribution (IInd kind): properties, likelihood, estimation","long_description":"Generalized Beta distribution (IInd kind): properties, likelihood, estimation","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-survey","R-hypergeo","R-cubature","R-CRAN-recommended","R-laeken","R-numDeriv"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-sdPrior"]}]},{"name":"Rgb2Hires","portdir":"graphics/Rgb2Hires","version":"20231031","license":"GPL-3 and MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/Pixinn/Rgb2Hires","description":"a set of tools for converting images to Apple II format","long_description":"Rgb2Hires is a set of tools to help convert a modern RGB image (JPEG, PNG) to the HIRES format for Apple II computers, either as a binary export or an assembly listing.","active":true,"categories":["graphics"],"maintainers":[{"name":"ryandesign","github":"ryandesign","ports_count":2085}],"variants":["debug","universal"],"dependencies":[{"type":"build","ports":["cmake","pkgconfig","clang-20"]},{"type":"lib","ports":["libsdl2","libsdl2_image"]}],"depends_on":[]},{"name":"R-gbeta","portdir":"R/R-gbeta","version":"0.1.0","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gbeta","description":"Generalized Beta and Beta Prime distributions","long_description":"Generalized Beta and Beta Prime distributions","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppNumerical","R-gsl","R-Runuran","R-CRAN-recommended","R-Rcpp","R-RcppEigen"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-gbm","portdir":"R/R-gbm","version":"2.2.2","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/gbm-developers/gbm","description":"Generalized boosted regression models","long_description":"Generalized boosted regression models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-gridExtra","R-knitr","R-covr","R-viridis","R-tinytest","R-pdp","R-vip","R-RUnit"]}],"depends_on":[{"type":"lib","ports":["R-bujar","R-bst","R-mob","R-countSTAR","R-twang"]},{"type":"test","ports":["R-MatchIt","R-nestedcv","R-npcs","R-plotmo","R-pmml","R-posterior","R-mboost","R-caretEnsemble","R-cdgd","R-cobalt","R-insight"]}]},{"name":"R-gbm3","portdir":"R/R-gbm3","version":"3.0","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/gbm-developers/gbm3","description":"Generalized boosted regression models","long_description":"Generalized boosted regression models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-Rcpp","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-gbp","portdir":"R/R-gbp","version":"0.1.0.4","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/gyang274/gbp","description":"Bin Packing Problem solver","long_description":"Bin Packing Problem solver","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-data.table","R-magrittr","R-rgl","R-CRAN-recommended","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-gbRd","portdir":"R/R-gbRd","version":"0.4.12","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=gbRd","description":"Utilities for processing Rd objects and files","long_description":"Utilities for processing Rd objects and files","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":"test","ports":["R-Rdpack"]}]}]}