{"count":51961,"next":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-name&page=104","previous":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-name&page=102","results":[{"name":"R-MFDFA","portdir":"R/R-MFDFA","version":"1.1","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://mlaib.github.io","description":"Multi-Fractal Detrended Fluctuation Analysis","long_description":"Multi-Fractal Detrended Fluctuation Analysis","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-numbers","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-fractalRegression"]}]},{"name":"R-mexhaz","portdir":"R/R-mexhaz","version":"2.6","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mexhaz","description":"Mixed effect excess hazard models","long_description":"Fit flexible (excess) hazard regression models with the possibility of including non-proportional effects of covariables and of adding a random effect at the cluster level (corresponding to a shared frailty).","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-statmod","R-lamW","R-CRAN-recommended","R-numDeriv"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-rstpm2"]}],"depends_on":[]},{"name":"R-mev","portdir":"R/R-mev","version":"1.17","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://lbelzile.github.io/mev","description":"Knowledge discovery by accuracy maximization","long_description":"Knowledge discovery by accuracy maximization","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-nleqslv","R-Rsolnp","R-alabama","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-evd","R-mvtnorm","R-knitr","R-rmarkdown","R-tinytest","R-gmm","R-revdbayes","R-ismev","R-TruncatedNormal","R-cobs"]}],"depends_on":[{"type":"lib","ports":["R-tsdistributions"]},{"type":"test","ports":["R-copula"]}]},{"name":"R-mets","portdir":"R/R-mets","version":"1.3.4","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/kkholst/mets","description":"Analysis of Multivariate Event Times","long_description":"Analysis of Multivariate Event Times","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-mvtnorm","R-numDeriv","R-lava","R-timereg","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-ucminf","R-ggplot2","R-knitr","R-testthat","R-rmarkdown","R-cowplot","R-optimx","R-cmprsk","R-prodlim","R-icenReg"]}],"depends_on":[{"type":"lib","ports":["R-riskRegression","R-targeted"]},{"type":"test","ports":["R-lava","R-mmcif","R-timereg"]}]},{"name":"R-metRology","portdir":"R/R-metRology","version":"0.9-28-1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=metRology","description":"Support for metrological applications","long_description":"Support for metrological applications","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-numDeriv","R-robustbase","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-BayesRS","R-bayes4psy"]}]},{"name":"R-MetricsWeighted","portdir":"R/R-MetricsWeighted","version":"1.0.3","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/mayer79/MetricsWeighted","description":"Weighted metrics, scoring functions and performance measures for machine learning","long_description":"Weighted metrics, scoring functions and performance measures for machine learning","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[{"type":"lib","ports":["R-tidyrules"]}]},{"name":"R-Metrics","portdir":"R/R-Metrics","version":"0.1.4","license":"BSD","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Metrics","description":"Evaluation metrics for machine learning","long_description":"Evaluation metrics for machine learning","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-testthat"]}],"depends_on":[{"type":"lib","ports":["R-ARGOS","R-audrex","R-dblr","R-iml"]},{"type":"test","ports":["R-cv"]}]},{"name":"R-MetricGraph","portdir":"R/R-MetricGraph","version":"1.4.0","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://davidbolin.github.io/MetricGraph","description":"Random fields on metric graphs","long_description":"Facilitates creation and manipulation of metric graphs, such as street or river networks. Further facilitates operations and visualizations of data on metric graphs and the creation of a large class of random fields and stochastic partial differential equations on such spaces. These random fields can be used for simulation, prediction and inference.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-Rcpp","R-RcppEigen","R-magrittr","R-sp","R-lifecycle","R-zoo","R-dplyr","R-tidyr","R-R6","R-igraph","R-broom","R-rSPDE","R-ggnewscale","R-sf","R-CRAN-recommended","R-ggplot2","R-RANN"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-metrica","portdir":"R/R-metrica","version":"2.1.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://adriancorrendo.github.io/metrica","description":"Prediction performance metrics","long_description":"Prediction performance metrics","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-dplyr","R-tidyr","R-ggplot2","R-RSQLite","R-ggpp","R-energy","R-minerva","R-CRAN-recommended","R-rlang","R-DBI"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-purrr","R-knitr","R-testthat","R-rmarkdown","R-apsimx"]}],"depends_on":[]},{"name":"R-metR","portdir":"R/R-metR","version":"0.15.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://eliocamp.github.io/metR","description":"Tools for easier analysis of meteorological fields","long_description":"Tools for easier analysis of meteorological fields","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-digest","R-memoise","R-stringr","R-checkmate","R-purrr","R-ggplot2","R-lubridate","R-scales","R-Formula","R-formula.tools","R-sf","R-CRAN-recommended","R-data.table","R-plyr","R-isoband","R-gtable"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-gsignal","R-kriging","R-irlba","R-here","R-reshape2","R-gridExtra","R-knitr","R-testthat","R-rmarkdown","R-pkgdown","R-covr","R-vdiffr","R-viridis","R-maps","R-ncdf4","R-PCICt","R-terra","R-rgdal","R-proj4","R-rnaturalearth"]}],"depends_on":[{"type":"lib","ports":["R-aihuman","R-mosaicCalc"]},{"type":"test","ports":["R-tidyterra"]}]},{"name":"R-MetaUtility","portdir":"R/R-MetaUtility","version":"2.1.2","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=MetaUtility","description":"Utility functions for conducting and interpreting meta-analyses","long_description":"Utility functions for conducting and interpreting meta-analyses","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-dplyr","R-purrr","R-tidyr","R-rlang","R-metafor","R-CRAN-recommended","R-metadat","R-stringr"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-EValue"]}]},{"name":"R-metatest","portdir":"R/R-metatest","version":"1.0-5","license":"GPL","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=metatest","description":"Fit and test metaregression models","long_description":"Fit and test metaregression 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"]}],"depends_on":[{"type":"test","ports":["R-RcmdrPlugin.EZR"]}]},{"name":"R-metarep","portdir":"R/R-metarep","version":"1.2.0","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/IJaljuli/metarep","description":"Replicability-analysis tools for meta-analysis","long_description":"Replicability-analysis tools for meta-analysis","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended","R-meta"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-BiasedUrn","R-metafor","R-numDeriv","R-knitr","R-lme4","R-rmarkdown"]}],"depends_on":[]},{"name":"R-metapod","portdir":"R/R-metapod","version":"1.12.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://bioconductor.org/packages/metapod","description":"Meta-analyses on p-values of differential analyses","long_description":"Meta-analyses on p-values of differential analyses","active":true,"categories":["science","R","bioconductor"],"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","R-BiocStyle"]}],"depends_on":[{"type":"lib","ports":["R-csaw"]}]},{"name":"R-metaplus","portdir":"R/R-metaplus","version":"1.0-5","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=metaplus","description":"Robust meta-analysis and meta-regression","long_description":"Robust meta-analysis and meta-regression","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-lme4","R-doParallel","R-foreach","R-bbmle","R-doRNG","R-fastGHQuad","R-metafor","R-CRAN-recommended","R-Rfast","R-numDeriv"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-R.rsp"]}],"depends_on":[{"type":"test","ports":["R-insight","R-statsExpressions"]}]},{"name":"R-metamedian","portdir":"R/R-metamedian","version":"1.1.1","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/stmcg/metamedian","description":"Meta-analysis of medians","long_description":"Meta-analysis of medians","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-estmeansd","R-metaBLUE","R-CRAN-recommended","R-Hmisc","R-metafor"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[]},{"name":"R-metafor","portdir":"R/R-metafor","version":"4.6-0","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://wviechtb.github.io/metafor","description":"Meta-analysis package for R","long_description":"Meta-analysis package for R","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-mathjaxr","R-metadat","R-numDeriv","R-CRAN-recommended","R-pbapply"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-xmeta","R-EValue","R-MAd","R-MetaUtility","R-NMA","R-PublicationBias","R-RTSA","R-RcmdrPlugin.MA","R-bayesmeta","R-gglm","R-meta","R-metamedian","R-metaplus","R-multibiasmeta","R-netmeta","R-phacking","R-puniform","R-robustmeta","R-wildmeta"]},{"type":"test","ports":["R-mvmeta","R-RoBMA","R-BFpack","R-broom","R-clubSandwich","R-performance","R-insight","R-see","R-publipha","R-statsExpressions","R-metarep","R-remaCor"]}]},{"name":"R-metadat","portdir":"R/R-metadat","version":"1.2-0","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/wviechtb/metadat","description":"Meta-analysis datasets","long_description":"Meta-analysis datasets","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-mathjaxr","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-EValue","R-MetaUtility","R-meta","R-metafor"]},{"type":"test","ports":["R-insight","R-publipha","R-puniform","R-performance","R-RoBMA","R-clubSandwich"]}]},{"name":"R-metacor","portdir":"R/R-metacor","version":"1.0-2.1","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=metacor","description":"Meta-analysis of correlation coefficients","long_description":"Meta-analysis of correlation coefficients","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-gsl","R-rmeta","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-metaBMA","portdir":"R/R-metaBMA","version":"0.6.9","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://danheck.github.io/metaBMA","description":"Bayesian model averaging for random and fixed effects meta-analysis","long_description":"Bayesian model averaging for random and fixed effects meta-analysis","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppEigen","R-RcppParallel","R-StanHeaders","R-coda","R-mvtnorm","R-rstantools","R-rstan","R-bridgesampling","R-logspline","R-LaplacesDemon","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown","R-spelling"]}],"depends_on":[{"type":"lib","ports":["R-BFpack"]},{"type":"test","ports":["R-RoBMA","R-insight","R-statsExpressions"]}]},{"name":"R-metaBLUE","portdir":"R/R-metaBLUE","version":"1.0.0","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=metaBLUE","description":"BLUE for combining location and scale information in a meta-analysis","long_description":"BLUE for combining location and scale information in a meta-analysis","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-estmeansd","R-metamedian"]}]},{"name":"R-metabias","portdir":"R/R-metabias","version":"0.1.1","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://mathurlabstanford.github.io/metabias","description":"R package with common components of metabias packages","long_description":"R package with common components of metabias packages","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Rdpack","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-robumeta","R-rstan"]}],"depends_on":[{"type":"lib","ports":["R-PublicationBias","R-multibiasmeta","R-phacking"]}]},{"name":"R-meta","portdir":"R/R-meta","version":"8.0-1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/guido-s/meta","description":"General package for meta-analysis","long_description":"General package for meta-analysis","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-stringr","R-dplyr","R-purrr","R-CompQuadForm","R-lme4","R-readr","R-metadat","R-metafor","R-CRAN-recommended","R-magrittr","R-xml2"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown","R-BiasedUrn","R-writexl","R-estmeansd","R-pimeta","R-brglm2","R-robvis"]}],"depends_on":[{"type":"lib","ports":["R-aides","R-gemtc","R-metarep","R-netmeta"]},{"type":"test","ports":["R-RcmdrPlugin.EZR","R-mvmeta"]}]},{"name":"R-MeshesTools","portdir":"R/R-MeshesTools","version":"1.0.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":"R-cgalMeshes","homepage":"https://www.macports.org","description":"Obsolete port, replaced by R-cgalMeshes","long_description":"This port has been replaced by R-cgalMeshes.","active":false,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-15"]},{"type":"extract","ports":[null]},{"type":"fetch","ports":[null]},{"type":"lib","ports":[null]},{"type":"patch","ports":[null]},{"type":"run","ports":[null]},{"type":"test","ports":[null]}],"depends_on":[]},{"name":"R-MeSHDbi","portdir":"R/R-MeSHDbi","version":"1.40.0","license":"Artistic-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://bioconductor.org/packages/MeSHDbi","description":"DBI to construct MeSH-related package from sqlite file","long_description":"DBI to construct MeSH-related package from sqlite file","active":true,"categories":["science","R","bioconductor"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-Biobase","R-AnnotationDbi","R-CRAN-recommended","R-RSQLite"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[]},{"name":"R-merTools","portdir":"R/R-merTools","version":"0.6.2","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/jknowles/merTools","description":"Tools for analyzing mixed effect regression models","long_description":"Tools for analyzing mixed effect regression models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-dplyr","R-ggplot2","R-shiny","R-lme4","R-arm","R-foreach","R-blme","R-broom.mixed","R-CRAN-recommended","R-abind","R-mvtnorm"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-Amelia","R-knitr","R-testthat","R-DT","R-future.apply","R-rmarkdown","R-rstanarm"]}],"depends_on":[{"type":"test","ports":["R-insight","R-rmcorr"]}]},{"name":"R-merlin","portdir":"R/R-merlin","version":"0.1.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=merlin","description":"Mixed effects regression for linear, non-linear and user-defined models.","long_description":"Mixed effects regression for linear, non-linear and user-defined models.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-statmod","R-randtoolbox"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-merDeriv","portdir":"R/R-merDeriv","version":"0.2-4","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=merDeriv","description":"Case-wise and cluster-wise derivatives for mixed effects models","long_description":"Case-wise and cluster-wise derivatives for mixed effects models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-lavaan","R-lme4","R-nonnest2","R-CRAN-recommended","R-numDeriv","R-sandwich"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-tinytest","R-lmeInfo","R-mirt"]}],"depends_on":[{"type":"test","ports":["R-cvms","R-lme4","R-lmeInfo","R-see","R-tram"]}]},{"name":"R-MendelianRandomization","portdir":"R/R-MendelianRandomization","version":"0.10.0","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=MendelianRandomization","description":"Several methods for performing Mendelian randomization analyses with summarized data","long_description":"Several methods for performing Mendelian randomization analyses with summarized data","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-numDeriv","R-ggplot2","R-knitr","R-rmarkdown","R-rjson","R-quantreg","libgcc","R-plotly","R-glmnet","R-iterpc","R-CRAN-recommended","libgcc14","R-robustbase","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-bnmr2"]}]},{"name":"R-memuse","portdir":"R/R-memuse","version":"4.2-3","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://shinra-dev.github.io","description":"Utility functions for large-scale data","long_description":"Utility functions for large-scale data","active":true,"categories":["sysutils","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-jmatrix","R-parallelpam","R-vcfR"]},{"type":"test","ports":["R-bigstatsr","R-coop"]}]},{"name":"R-MEMSS","portdir":"R/R-MEMSS","version":"0.9-3","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=MEMSS","description":"Datasets from Mixed-Effects Models in S","long_description":"Datasets from Mixed-Effects Models in S","active":true,"categories":["science","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":"test","ports":["R-afex","R-lme4","R-tidystats"]}]},{"name":"R-memoise","portdir":"R/R-memoise","version":"2.0.1","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://memoise.r-lib.org","description":"Memoisation of functions","long_description":"Memoisation of functions","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended","R-cachem","R-rlang"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-googleCloudStorageR","R-aws.s3","R-digest","R-testthat","R-httr","R-covr","R-googleAuthR"]}],"depends_on":[{"type":"lib","ports":["R-timbr","R-OpenML","R-RSQLite","R-RcppEigenAD","R-bigergm","R-bslib","R-conflicted","R-officedown","R-pacs","R-BWStest","R-crops","R-cyclotomic","R-devtools","R-dm","R-dockerfiler","R-downlit","R-ergm","R-felp","R-ggraph","R-googleAnalyticsR","R-googleAuthR","R-gridpattern","R-huxtable","R-metR"]},{"type":"test","ports":["R-covr","R-emayili","R-pkgsearch"]}]},{"name":"R-memochange","portdir":"R/R-memochange","version":"1.1.1","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=memochange","description":"Testing for structural breaks under long memory and testing for changes in persistence","long_description":"Testing for structural breaks under long memory and testing for changes in persistence","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-fracdiff","R-urca","R-strucchange","R-longmemo","R-LongMemoryTS","R-CRAN-recommended","R-sandwich","R-forecast"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-data.table","R-xts","R-zoo","R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-memisc","portdir":"R/R-memisc","version":"0.99.31.8.1","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://melff.github.io/memisc","description":"Tools for managing survey data and creating tables of estimates and data summaries","long_description":"Tools for managing survey data and creating tables of estimates and data summaries","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended","R-yaml","R-jsonlite","R-data.table"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-haven","R-car","R-eha","R-AER","R-simex","R-ordinal","R-sandwich","R-tibble","R-knitr","R-lme4","R-rmarkdown"]}],"depends_on":[{"type":"lib","ports":["R-Rchoice","R-mclogit"]},{"type":"test","ports":["R-crch","R-gmnl","R-labelled","R-pander"]}]},{"name":"R-memery","portdir":"R/R-memery","version":"0.6.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://leonawicz.github.io/memery","description":"Internet memes for data analysts","long_description":"R package for combining the visual impact of an attention-grabbing meme with graphic results of data analysis.","active":true,"categories":["graphics","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-png","R-purrr","R-ggplot2","R-shiny","R-colourpicker","R-Cairo","R-cowplot","R-showtext","R-sysfonts","R-shinycssloaders","R-shinyBS","R-CRAN-recommended","R-jpeg","R-magrittr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown","R-magick"]}],"depends_on":[]},{"name":"R-MEFM","portdir":"R/R-MEFM","version":"0.1.1","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=MEFM","description":"Perform MEFM estimation on matrix time series","long_description":"Perform MEFM estimation on matrix time series","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended","R-tensorMiss"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-rmarkdown","R-knitr"]}],"depends_on":[]},{"name":"R-mediation","portdir":"R/R-mediation","version":"4.5.0","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://imai.princeton.edu/projects/mechanisms.html","description":"Parametric and non-parametric mediation analysis","long_description":"Parametric and non-parametric mediation analysis","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-lme4","R-Hmisc","R-lpSolve","R-CRAN-recommended","R-mvtnorm","R-sandwich"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-quantreg","R-VGAM","R-SuppDists","R-speedglm"]}],"depends_on":[{"type":"lib","ports":["R-bruceR"]},{"type":"test","ports":["R-bayestestR","R-broom","R-WRS2","R-datawizard","R-emmeans","R-broom.mixed"]}]},{"name":"R-MedianaDesigner","portdir":"R/R-MedianaDesigner","version":"0.13","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/medianasoft/MedianaDesigner","description":"Power and sample size calculations for clinical trials","long_description":"Power and sample size calculations for clinical trials","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppNumerical","R-mvtnorm","R-shiny","R-lme4","R-doParallel","R-foreach","R-shinydashboard","R-rootSolve","R-lmerTest","R-officer","R-pbkrtest","R-shinyMatrix","R-flextable","R-devEMF","R-CRAN-recommended","R-Rcpp","R-RcppEigen"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-doRNG"]}],"depends_on":[]},{"name":"R-medflex","portdir":"R/R-medflex","version":"0.6-10","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=medflex","description":"Flexible mediation analysis using natural effect models","long_description":"Flexible mediation analysis using natural effect models","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-sandwich","R-multcomp","R-CRAN-recommended","R-car"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-SuperLearner","R-mitools","R-arm","R-VGAM","R-gam","R-mice","R-glmnet"]}],"depends_on":[]},{"name":"R-meboot","portdir":"R/R-meboot","version":"1.4-9.4","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=meboot","description":"Maximum entropy bootstrap for time series","long_description":"Maximum entropy bootstrap for time series","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-dynlm","R-hdrcde","R-CRAN-recommended","R-tdigest"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-ConvergenceConcepts","R-zoo","R-lmtest","R-plm","R-car","R-strucchange","R-geepack"]}],"depends_on":[{"type":"test","ports":["R-ftsa"]}]},{"name":"R-measures","portdir":"R/R-measures","version":"0.3","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=measures","description":"Performance measures for statistical learning","long_description":"Performance measures for statistical learning","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-testthat"]}],"depends_on":[{"type":"lib","ports":["R-varImp"]}]},{"name":"R-measurements","portdir":"R/R-measurements","version":"1.5.1","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=measurements","description":"Tools for units of measurement","long_description":"Tools for units of measurement","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-units"]}]},{"name":"R-measurementProtocol","portdir":"R/R-measurementProtocol","version":"0.1.1","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://code.markedmondson.me/measurementProtocol","description":"Send data from R to the Measurement Protocol","long_description":"Send data from R to the Measurement Protocol","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-jsonlite","R-rappdirs","R-httr","R-CRAN-recommended","R-assertthat","R-cli"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[{"type":"lib","ports":["R-googleAnalyticsR"]}]},{"name":"R-measr","portdir":"R/R-measr","version":"1.0.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/wjakethompson/measr","description":"Bayesian psychometric measurement using RStan","long_description":"Bayesian psychometric measurement using RStan","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppEigen","R-RcppParallel","R-StanHeaders","R-fs","R-magrittr","R-rlang","R-glue","R-rstantools","R-tibble","R-dplyr","R-loo","R-tidyr","R-rstan","R-posterior","R-psych","R-dcm2","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-cli","R-crayon","R-knitr","R-testthat","R-rmarkdown","R-roxygen2","R-cmdstanr","R-spelling"]}],"depends_on":[]},{"name":"R-MDMR","portdir":"R/R-MDMR","version":"0.5.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/dmcartor/MDMR","description":"Multivariate Distance Matrix Regression","long_description":"Multivariate Distance Matrix Regression","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-lme4","R-car","R-CRAN-recommended","R-CompQuadForm"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-mdhglm","portdir":"R/R-mdhglm","version":"1.8","license":"Permissive","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mdhglm","description":"Multivariate double hierarchical generalized linear models","long_description":"Multivariate double hierarchical generalized linear models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-mvtnorm","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-mdgc","portdir":"R/R-mdgc","version":"0.1.7","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mdgc","description":"Missing data imputation using gaussian copulas","long_description":"Missing data imputation using gaussian copulas","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-RcppArmadillo","R-testthat","R-psqn","R-CRAN-recommended","libgcc14","libgcc","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-catdata"]}],"depends_on":[]},{"name":"R-mDAG","portdir":"R/R-mDAG","version":"1.2.2","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mDAG","description":"Inferring causal network from mixed observational data using a directed acyclic graph","long_description":"Inferring causal network from mixed observational data using a directed acyclic graph","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-bnlearn","R-pcalg","R-logistf","libgcc","R-CRAN-recommended","libgcc14","R-mgm","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-mda","portdir":"R/R-mda","version":"0.5-5","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mda","description":"Mixture and flexible discriminant analysis","long_description":"Mixture and flexible discriminant analysis","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":["libgcc","R-CRAN-recommended","libgcc14"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-earth"]}],"depends_on":[{"type":"lib","ports":["R-Compositional","R-bujar","R-sparseLDA","R-xLLiM"]},{"type":"test","ports":["R-discrim","R-earth","R-nestedcv","R-prediction","R-DiceEval","R-tidyAML","R-caret"]}]},{"name":"R-mcunit","portdir":"R/R-mcunit","version":"0.3.2","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://bitbucket.org/agandy/mcunit","description":"Unit testing for Monte Carlo methods","long_description":"Unit testing for Monte Carlo methods","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-Rdpack","R-CRAN-recommended","R-rlang","R-simctest","R-testthat"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[]}]}