{"count":52338,"next":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-name&page=103","previous":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-name&page=101","results":[{"name":"R-mixgb","portdir":"R/R-mixgb","version":"1.5.2","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://agnesdeng.github.io/mixgb","description":"Multiple imputation via xgboost","long_description":"Multiple imputation via xgboost","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-Rfast","R-data.table","R-magrittr","R-mice","R-xgboost","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-MixedPoisson","portdir":"R/R-MixedPoisson","version":"2.0","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=MixedPoisson","description":"Mixed Poisson models","long_description":"The estimation of the parameters in mixed Poisson models.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Rmpfr","R-gaussquad","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-mixedClust","portdir":"R/R-mixedClust","version":"1.0.2","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mixedClust","description":"Co-clustering of mixed type data","long_description":"Co-clustering of mixed type 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-RcppProgress","R-fda","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown","R-ordinalClust"]}],"depends_on":[]},{"name":"R-mixdist","portdir":"R/R-mixdist","version":"0.5-5","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mixdist","description":"Finite Mixture Distribution models","long_description":"Finite Mixture Distribution 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":"lib","ports":["R-WeibullFit"]}]},{"name":"R-mixAK","portdir":"R/R-mixAK","version":"5.8","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mixAK","description":"Multivariate normal mixture models and mixtures of generalized linear mixed models including model-based clustering","long_description":"Multivariate normal mixture models and mixtures of generalized linear mixed models including model-based clustering","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-colorspace","R-lme4","R-fastGHQuad","R-CRAN-recommended","libgcc14","libgcc","R-mnormt","R-coda"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-mvtnorm"]}],"depends_on":[]},{"name":"R-mix","portdir":"R/R-mix","version":"1.0-13","license":"Permissive","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mix","description":"Estimation/multiple imputation programs for mixed categorical and continuous data","long_description":"Estimation/multiple imputation programs for mixed categorical and continuous data","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-CRAN-recommended","libgcc14","libgcc"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-LMest"]},{"type":"test","ports":["R-mclust"]}]},{"name":"R-miWQS","portdir":"R/R-miWQS","version":"0.4.4","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=miWQS","description":"Multiple imputation using weighted quantile sum regression","long_description":"Multiple imputation using weighted quantile sum regression","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-truncnorm","R-invgamma","R-purrr","R-tidyr","R-ggplot2","R-Hmisc","R-rlist","R-glm2","R-tmvtnorm","R-Rsolnp","R-MCMCpack","R-condMVNorm","R-matrixNormal","R-tmvmixnorm","R-CRAN-recommended","R-coda","R-mvtnorm"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-sessioninfo","R-knitr","R-scales","R-testthat","R-rmarkdown","R-spelling","R-GGally","R-formatR","R-mice","R-pander","R-norm","R-wqs"]}],"depends_on":[]},{"name":"R-mitools","portdir":"R/R-mitools","version":"2.4","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mitools","description":"Tools for multiple imputation of missing data","long_description":"Tools for multiple imputation of missing data","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-DBI","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-survey","R-relaimpo","R-kmi","R-miceadds","R-pan","R-psfmi"]},{"type":"test","ports":["R-lavaan.survey","R-medflex"]}]},{"name":"R-mitml","portdir":"R/R-mitml","version":"0.4-5","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mitml","description":"Tools for multiple imputation in multi-level modelling","long_description":"Tools for multiple imputation in multi-level modelling","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-haven","R-CRAN-recommended","R-jomo","R-pan"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-geepack","R-glmmTMB","R-miceadds","R-Amelia","R-knitr","R-lavaan","R-lme4","R-rmarkdown","R-mice"]}],"depends_on":[{"type":"lib","ports":["R-mice","R-psfmi"]},{"type":"test","ports":["R-jomo"]}]},{"name":"R-misty","portdir":"R/R-misty","version":"0.6.8","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=misty","description":"Miscellaneous functions for descriptive statistics","long_description":"Miscellaneous functions for descriptive statistics","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-lavaan","R-lme4","R-haven","R-rstudioapi","R-CRAN-recommended","R-data.table","R-ggplot2"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-mnormt","R-plyr","R-readxl","R-patchwork","R-mice","R-writexl","R-hdf5r","R-mvnmle"]}],"depends_on":[]},{"name":"R-mistr","portdir":"R/R-mistr","version":"0.0.6","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mistr","description":"Mixture and composite distributions","long_description":"Mixture and composite distributions","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-bbmle","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-ggplot2","R-knitr","R-rmarkdown","R-pinp"]}],"depends_on":[{"type":"lib","ports":["R-evinf"]}]},{"name":"R-missSBM","portdir":"R/R-missSBM","version":"1.0.4","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://grosssbm.github.io/missSBM","description":"Handling missing data in stochastic block models","long_description":"Handling missing data in stochastic block models","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-magrittr","R-rlang","R-ggplot2","R-future.apply","R-igraph","R-nloptr","R-RSpectra","R-CRAN-recommended","R-sbm","libgcc14","libgcc","R-R6","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-future","R-rmarkdown","R-covr","R-spelling","R-corrplot","R-aricode","R-blockmodels"]}],"depends_on":[]},{"name":"R-misspi","portdir":"R/R-misspi","version":"0.1.0","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=misspi","description":"Missing value imputation in parallel","long_description":"Missing value imputation in parallel","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-foreach","R-plotly","R-glmnet","R-doSNOW","R-lightgbm","R-CRAN-recommended","R-SIS","R-ggplot2","R-doParallel"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-e1071","R-neuralnet"]}],"depends_on":[]},{"name":"R-missMDA","portdir":"R/R-missMDA","version":"1.19","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"http://factominer.free.fr/missMDA/index.html","description":"Handling of missing values with multivariate data analysis","long_description":"Handling of missing values with multivariate data analysis","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-doParallel","R-foreach","R-mice","R-FactoMineR","R-CRAN-recommended","R-mvtnorm","R-ggplot2"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-markdown"]}],"depends_on":[{"type":"lib","ports":["R-Factoshiny"]},{"type":"test","ports":["R-FactoMineR"]}]},{"name":"R-missForest","portdir":"R/R-missForest","version":"1.5","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=missForest","description":"Non-parametric missing value imputation using random forest","long_description":"Non-parametric missing value imputation using random forest","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-randomForest","R-foreach","R-doRNG","R-CRAN-recommended","R-iterators","R-itertools"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-doParallel"]}],"depends_on":[{"type":"lib","ports":["R-longit"]}]},{"name":"R-mispr","portdir":"R/R-mispr","version":"1.0.0","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mispr","description":"Multiple Imputation with Sequential Penalized Regression","long_description":"Generates multivariate imputations using sequential regression with L2 penalty.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-e1071","R-penalized","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-miselect","portdir":"R/R-miselect","version":"0.9.2","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=miselect","description":"Variable selection for multiply imputed data","long_description":"Variable selection for multiply imputed data","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-mice","R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-miscTools","portdir":"R/R-miscTools","version":"0.6-28","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=miscTools","description":"Miscellaneous tools and utilities","long_description":"Miscellaneous tools and utilities","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-digest","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-Rchoice","R-censReg","R-fastR2","R-maxLik","R-micEcon","R-micEconCES","R-mvProbit","R-robustbetareg","R-sampleSelection"]}]},{"name":"R-miscFuncs","portdir":"R/R-miscFuncs","version":"1.5-8","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=miscFuncs","description":"Miscellaneous useful functions including LaTeX tables, Kalman filtering and development tools","long_description":"Miscellaneous useful functions including LaTeX tables, Kalman filtering and development tools","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-roxygen2","R-extraDistr","R-CRAN-recommended","R-mvtnorm"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-bayesGARCH"]}],"depends_on":[]},{"name":"R-misc3d","portdir":"R/R-misc3d","version":"0.9-1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://gitlab.com/luke-tierney/misc3d","description":"Collection of miscellaneous 3D plots, including isosurfaces","long_description":"Collection of miscellaneous 3D plots, including isosurfaces","active":true,"categories":["graphics","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-rgl","R-tkrplot"]}],"depends_on":[{"type":"lib","ports":["R-longitudinalData","R-plot3D"]},{"type":"test","ports":["R-ks","R-rgl","R-sm","R-uniformly"]}]},{"name":"R-mirtsvd","portdir":"R/R-mirtsvd","version":"1.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mirtsvd","description":"SVD-based estimation for exploratory item factor analysis","long_description":"SVD-based estimation for exploratory item factor analysis","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-GPArotation","R-mirtjml","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-mirtjml","portdir":"R/R-mirtjml","version":"1.4.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mirtjml","description":"Joint maximum likelihood estimation for high-dimensional item factor analysis","long_description":"Joint maximum likelihood estimation for high-dimensional item factor analysis","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-GPArotation","R-CRAN-recommended","libgcc","libgcc14","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-mirtsvd"]}]},{"name":"R-mirtCAT","portdir":"R/R-mirtCAT","version":"1.14","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/philchalmers/mirtCAT/wiki","description":"Computerized adaptive testing with multidimensional item response theory","long_description":"R-mirtCAT provides tools to generate HTML interfaces for adaptive and non-adaptive tests using R-shiny 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-shiny","R-markdown","R-pbapply","R-lpSolve","R-mirt","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-shinythemes"]}],"depends_on":[{"type":"test","ports":["R-mirt"]}]},{"name":"R-mirt","portdir":"R/R-mirt","version":"1.42","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/philchalmers/mirt/wiki","description":"Multidimensional Item Response Theory","long_description":"Multidimensional Item Response Theory","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-gridExtra","R-pbapply","R-Deriv","R-GPArotation","R-dcurver","R-vegan","R-CRAN-recommended","libgcc14","R-SimDesign","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-shiny","R-markdown","R-nloptr","R-latticeExtra","R-Rsolnp","R-plink","R-sirt","R-directlabels","R-mirtCAT"]}],"depends_on":[{"type":"lib","ports":["R-mirtCAT"]},{"type":"test","ports":["R-nonnest2","R-merDeriv","R-psychotree","R-rpf","R-sirt","R-psychotools"]}]},{"name":"R-MIRES","portdir":"R/R-MIRES","version":"0.1.0","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/stephenSRMMartin/MIRES","description":"Measurement invariance assessment using random effects models and shrinkage","long_description":"Measurement invariance assessment using random effects models and shrinkage","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppEigen","R-StanHeaders","R-cubature","R-mvtnorm","R-rstantools","R-truncnorm","R-rstan","R-HDInterval","R-Formula","R-pracma","R-logspline","R-dirichletprocess","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[]},{"name":"R-mirai.promises","portdir":"R/R-mirai.promises","version":"0.5.0","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://shikokuchuo.net/mirai.promises","description":"Allows mirai objects from the R-mirai, encapsulating asynchronous computations, to be used interchangeably with promise objects from the R-promises","long_description":"Allows mirai objects from the R-mirai, encapsulating asynchronous computations, to be used interchangeably with promise objects from the R-promises","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-nanonext","R-CRAN-recommended","R-promises"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-mirai"]}],"depends_on":[]},{"name":"R-mirai","portdir":"R/R-mirai","version":"1.3.1","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://shikokuchuo.net/mirai","description":"Minimalist async evaluation framework for R","long_description":"Minimalist async evaluation framework for R","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-nanonext","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-cli","R-promises","R-litedown"]}],"depends_on":[{"type":"lib","ports":["R-crew","R-future.mirai","R-ichimoku"]},{"type":"test","ports":["R-mirai.promises"]}]},{"name":"R-mipfp","portdir":"R/R-mipfp","version":"3.2.1","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/jojo-/mipfp","description":"Multidimensional iterative proportional fitting and alternative models","long_description":"Multidimensional iterative proportional fitting and alternative models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-numDeriv","R-cmm","R-Rsolnp"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-StatMatch"]}]},{"name":"R-minty","portdir":"R/R-minty","version":"0.0.4","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://gesistsa.github.io/minty","description":"Minimal Type Guesser","long_description":"Port of the type guesser from R-readr.","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-tzdb","R-CRAN-recommended","R-cpp11"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-readr","R-stringi","R-withr","R-hms","R-knitr","R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-readODS"]}]},{"name":"R-minqa","portdir":"R/R-minqa","version":"1.2.8","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://optimizer.r-forge.r-project.org","description":"Derivative-Free Optimization Algorithms by Quadratic Approximation","long_description":"Derivative-free optimization by quadratic approximation based on an interface to Fortran implementations by M.J.D. Powell.","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":["libgcc14","libgcc","R-Rcpp","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-FME","R-GMMBoost","R-cplm","R-glmmLasso","R-lme4","R-mvord","R-palm","R-spaMM","R-survey","R-wCorr"]},{"type":"test","ports":["R-ROI.plugin.optimx","R-RandomFields","R-blackbox","R-rminqa","R-fdapace","R-optimx","R-sirt","R-msm"]}]},{"name":"R-minpack.lm","portdir":"R/R-minpack.lm","version":"1.2-4","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=minpack.lm","description":"R interface to the Levenberg–Marquardt non-linear least-squares algorithm found in MINPACK","long_description":"R interface to the Levenberg–Marquardt non-linear least-squares algorithm found in MINPACK","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":"lib","ports":["R-Compositional","R-FME","R-FatTailsR","R-anabel","R-micEconCES","R-shapes","R-propagate","R-qpcR","R-semds"]},{"type":"test","ports":["R-nlraa"]}]},{"name":"R-minMSE","portdir":"R/R-minMSE","version":"0.5.1","license":"GPL","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=minMSE","description":"Implementation of the minMSE treatment assignment method for one or multiple treatment groups","long_description":"Implementation of the minMSE treatment assignment method for one or multiple treatment groups","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Rcpp","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-MinkowskiSum","portdir":"R/R-MinkowskiSum","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-miniUI","portdir":"R/R-miniUI","version":"0.1.1.1","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=miniUI","description":"Shiny UI widgets for small screens","long_description":"Provides UI widget and layout functions for writing Shiny apps that work well on small screens.","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-htmltools","R-shiny","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-colourpicker","R-jsTreeR","R-devtools","R-manipulateWidget","R-mgcViz","R-Seurat","R-questionr","R-r6methods","R-felp","R-ggExtra","R-gimmeTools","R-chatgpt"]},{"type":"test","ports":["R-rhandsontable","R-askgpt","R-bookdown","R-ezplot","R-googleAnalyticsR","R-googleAuthR","R-listviewer","R-netrankr","R-renv","R-reprex","R-GDAtools"]}]},{"name":"R-minioclient","portdir":"R/R-minioclient","version":"0.0.6","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cboettig.github.io/minioclient","description":"Interface to the MinIO client","long_description":"Interface to the MinIO client","active":true,"categories":["sysutils","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-glue","R-CRAN-recommended","R-fs","R-processx","R-jsonlite"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-curl","R-testthat","R-spelling"]}],"depends_on":[{"type":"test","ports":["R-duckdbfs"]}]},{"name":"R-minimaxApprox","portdir":"R/R-minimaxApprox","version":"0.4.3","license":"MPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/aadler/MiniMaxApprox","description":"Implementation of Remez algorithm for polynomial and rational function approximation","long_description":"Implementation of Remez algorithm for polynomial and rational function approximation","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":["R","gcc14","clang-19"]},{"type":"lib","ports":["libgcc","libgcc14","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-tinytest","R-covr"]}],"depends_on":[]},{"name":"R-minimax","portdir":"R/R-minimax","version":"1.1.1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=minimax","description":"Minimax distribution family","long_description":"Minimax distribution family","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-fitteR"]}]},{"name":"R-minerva","portdir":"R/R-minerva","version":"1.5.10","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=minerva","description":"Maximal information-based non-parametric exploration for variable analysis","long_description":"Maximal information-based non-parametric exploration for variable analysis","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppArmadillo","R-CRAN-recommended","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-KODAMA","R-metrica"]}]},{"name":"R-minb","portdir":"R/R-minb","version":"0.1.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=minb","description":"Multiple-Inflated Negative Binomial Model","long_description":"Multiple-Inflated Negative Binomial Model","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-pscl","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-mimi","portdir":"R/R-mimi","version":"0.2.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mimi","description":"Main effects and interactions in mixed and incomplete data","long_description":"Main effects and interactions in mixed and incomplete data","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-foreach","R-glmnet","R-rARPACK","R-FactoMineR","R-softImpute","R-CRAN-recommended","R-data.table","R-doParallel"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-mime","portdir":"R/R-mime","version":"0.12","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://yihui.org/mime","description":"Map filenames to MIME types","long_description":"Map filenames to MIME types","active":true,"categories":["devel","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-shiny","R-RestRserve","R-bslib","R-crul","R-distill","R-emayili","R-gmailr","R-handlr","R-httr","R-mongolite","R-plumber","R-rgl","R-servr"]},{"type":"test","ports":["R-xfun","R-pins"]}]},{"name":"R-milr","portdir":"R/R-milr","version":"0.3.1","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=milr","description":"Multiple-Instance Logistic Regression with lasso penalty","long_description":"Multiple-Instance Logistic Regression with lasso penalty","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-RcppParallel","R-numDeriv","R-glmnet","R-pipeR","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-data.table","R-plyr","R-ggplot2","R-knitr","R-testthat","R-rmarkdown","R-Hmisc"]}],"depends_on":[]},{"name":"R-MIIVsem","portdir":"R/R-MIIVsem","version":"0.5.8","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=MIIVsem","description":"Model Implied Instrumental Variable (MIIV) estimation of Structural Equation Models","long_description":"Model Implied Instrumental Variable (MIIV) estimation of Structural Equation Models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-car","R-numDeriv","R-CRAN-recommended","R-lavaan"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-gimme"]}]},{"name":"R-miic","portdir":"R/R-miic","version":"2.0.3","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=miic","description":"Learning causal or non-causal graphical models using information theory","long_description":"Learning causal or non-causal graphical models using information theory","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-ppcor","R-CRAN-recommended","R-Rcpp","R-scales"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-ggplot2","R-gridExtra","R-igraph"]}],"depends_on":[]},{"name":"R-migraph","portdir":"R/R-migraph","version":"1.4.3","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://stocnet.github.io/migraph","description":"Tools for multimodal network analysis","long_description":"Univariate and multivariate tests for multimodal and other networks.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-purrr","R-ggplot2","R-future","R-furrr","R-manynet","R-CRAN-recommended","R-dplyr","R-generics"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-roxygen2","R-covr"]}],"depends_on":[]},{"name":"R-micss","portdir":"R/R-micss","version":"0.2.0","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=micss","description":"Modified Iterative Cumulative Sum of Squares algorithm","long_description":"Modified Iterative Cumulative Sum of Squares algorithm","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-dplyr","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[]},{"name":"R-microbenchmark","portdir":"R/R-microbenchmark","version":"1.5.0","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/joshuaulrich/microbenchmark","description":"Infrastructure to accurately measure and compare the execution time of R expressions","long_description":"Infrastructure to accurately measure and compare the execution time of R expressions","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-RUnit","R-ggplot2","R-multcomp"]}],"depends_on":[{"type":"lib","ports":["R-doBy"]},{"type":"test","ports":["R-BBmisc","R-DelayedMatrixStats","R-FSelectorRcpp","R-GeneralizedWendland","R-NPflow","R-PeakSegJoint","R-PoissonBinomial","R-R6","R-RDSsamplesize","R-RcppAlgos","R-RcppBessel","R-RcppBlaze","R-RcppEigen","R-RcppMsgPack","R-RcppUUID","R-RcppZiggurat","R-abn","R-ast2ast","R-bartcs","R-bigsnpr","R-bit","R-brotli","R-checkmate","R-collapse","R-cv","R-dbscan","R-dde","R-dipsaus","R-dotCall64","R-dplyr","R-dpseg","R-fastMatMR","R-fasterize","R-fritools","R-fromo","R-gRain","R-gRbase","R-gRc","R-gsignal","R-hal9001","R-hypergeo2","R-isoband","R-lbfgsb3c","R-lotri","R-marqLevAlg","R-matrixStats","R-mmrm","R-mvnfast","R-mvp","R-optimParallel","R-pROC","R-pander","R-parglm","R-philentropy","R-polyCub","R-profmem","R-rco","R-re2r","R-revdbayes","R-robustlmm","R-rust","R-spacesXYZ","R-sf","R-this.path"]}]},{"name":"R-micEconCES","portdir":"R/R-micEconCES","version":"1.0-2","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"http://www.micEcon.org","description":"Analysis with the constant elasticity of substitution (CES) function","long_description":"Analysis with the constant elasticity of substitution (CES) function","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-systemfit","R-minpack.lm","R-DEoptim","R-micEcon","R-CRAN-recommended","R-miscTools","R-car"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-xtable","R-maxLik","R-AER"]}],"depends_on":[]},{"name":"R-micEcon","portdir":"R/R-micEcon","version":"0.6-18","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"http://www.micEcon.org","description":"Microeconomic analysis and modelling","long_description":"Microeconomic analysis and modelling","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-miscTools","R-plm","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-micEconCES"]}]},{"name":"R-miceadds","portdir":"R/R-miceadds","version":"3.17-44","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=miceadds","description":"Additional multiple imputation functions for R-mice","long_description":"Additional multiple imputation functions for R-mice","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-mitools","R-mice","libgcc","libgcc14","R-CRAN-recommended","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-mice","R-mitml","R-sirt","R-texreg"]}]}]}