{"count":52358,"next":"https://ports.macports.org/api/v1/ports/?format=json&page=251","previous":"https://ports.macports.org/api/v1/ports/?format=json&page=249","results":[{"name":"R-logNormReg","portdir":"R/R-logNormReg","version":"0.5-0","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=logNormReg","description":"Log-normal linear regression","long_description":"Log-normal linear 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":[]},{"name":"R-literanger","portdir":"R/R-literanger","version":"0.1.1","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://gitlab.com/stephematician/literanger","description":"Random forests for multiple imputation based on R-ranger","long_description":"Random forests for multiple imputation based on R-ranger","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-cpp11","R-Rcereal"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-tibble","R-testthat"]}],"depends_on":[]},{"name":"R-grpnet","portdir":"R/R-grpnet","version":"0.6","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=grpnet","description":"Group elastic net-regularized GLM","long_description":"Efficient algorithms for fitting generalized linear models with group elastic net penalties.","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-knitr"]}],"depends_on":[]},{"name":"R-disaggregation","portdir":"R/R-disaggregation","version":"0.3.0","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=disaggregation","description":"Disaggregation regression models using R-TMB","long_description":"Disaggregation regression models using R-TMB","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-dplyr","R-ggplot2","R-cowplot","R-TMB","R-splancs","R-terra","R-RcppEigen","R-sparseMVN","R-fmesher","R-CRAN-recommended","R-tidyterra","R-sf","R-sp"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-dblr","portdir":"R/R-dblr","version":"0.1.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=dblr","description":"Discrete Boosting Logistic Regression","long_description":"Discrete Boosting Logistic Regression","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CatEncoders","R-Metrics","R-data.table","R-CRAN-recommended","R-xgboost"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-dHSIC","portdir":"R/R-dHSIC","version":"2.1","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=dHSIC","description":"Independence testing via Hilbert–Schmidt independence criterion","long_description":"Independence testing via Hilbert–Schmidt independence criterion","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-Rcpp","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-EDMeasure","R-seqICP"]}]},{"name":"R-audrex","portdir":"R/R-audrex","version":"2.0.1","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=audrex","description":"Automatic dynamic regression using extreme gradient boosting","long_description":"Automatic dynamic regression using extreme gradient boosting","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-purrr","R-ggplot2","R-lubridate","R-scales","R-readr","R-imputeTS","R-modeest","R-moments","R-fANCOVA","R-narray","R-tictoc","R-Metrics","R-rBayesianOptimization","R-CRAN-recommended","R-xgboost","R-stringr"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-SeuratObject","portdir":"R/R-SeuratObject","version":"5.0.2","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://mojaveazure.github.io/seurat-object","description":"Data structures for single cell data","long_description":"Data structures for single cell data","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-rlang","R-sp","R-lifecycle","R-generics","R-progressr","R-future","R-future.apply","R-spam","R-CRAN-recommended","R-Rcpp","R-RcppEigen"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-fs","R-ggplot2","R-testthat","R-rmarkdown","R-DelayedArray","R-HDF5Array","R-sf","R-Seurat"]}],"depends_on":[{"type":"lib","ports":["R-Seurat"]},{"type":"test","ports":["R-edgeR"]}]},{"name":"R-RealVAMS","portdir":"R/R-RealVAMS","version":"0.4-6","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=RealVAMS","description":"Multivariate VAM fitting","long_description":"Multivariate VAM fitting","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-CRAN-recommended","libgcc","libgcc14","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-Oarray","portdir":"R/R-Oarray","version":"1.4-9","license":"GPL","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Oarray","description":"Arrays with arbitrary offsets","long_description":"Arrays with arbitrary offsets","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-MM"]}]},{"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-MM","portdir":"R/R-MM","version":"1.6-8","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/RobinHankin/MM","description":"Multiplicative multinomial distribution","long_description":"Multiplicative multinomial distribution","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-mathjaxr","R-partitions","R-Oarray","R-abind","R-quadform","R-CRAN-recommended","R-magic"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-GenMarkov","portdir":"R/R-GenMarkov","version":"0.2.0","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=GenMarkov","description":"Multivariate Markov chains","long_description":"Multivariate Markov chains","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-maxLik","R-alabama","R-Hmisc","R-CRAN-recommended","R-fastDummies","R-matrixcalc"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-FracKrigingR","portdir":"R/R-FracKrigingR","version":"1.0.0","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=FracKrigingR","description":"Spatial multivariate data modelling","long_description":"Spatial multivariate data modelling","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-psych","R-clusterGeneration"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-sp","R-knitr","R-rmarkdown","R-raster","R-gstat"]}],"depends_on":[]},{"name":"R-EDMeasure","portdir":"R/R-EDMeasure","version":"1.2.0","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=EDMeasure","description":"Energy-based dependence measures","long_description":"Energy-based dependence measures","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-dHSIC","R-rBayesianOptimization","R-CRAN-recommended","R-energy"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[]},{"name":"R-EDISON","portdir":"R/R-EDISON","version":"1.1.1","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=EDISON","description":"Network reconstruction and changepoint detection","long_description":"Network reconstruction and changepoint detection","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-corpcor","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[]},{"name":"R-Disequilibrium","portdir":"R/R-Disequilibrium","version":"1.1","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Disequilibrium","description":"Estimate, summarize and perform predictions with the market-in-disequilibrium model","long_description":"Estimate, summarize and perform predictions with the market-in-disequilibrium model","active":true,"categories":["science","R","economics"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-optimr","R-CRAN-recommended","R-numDeriv","R-Formula"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-sandwich","R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-CholWishart","portdir":"R/R-CholWishart","version":"1.1.4","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://gzt.github.io/CholWishart","description":"Cholesky decomposition of the Wishart distribution","long_description":"Cholesky decomposition of the Wishart distribution","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-knitr","R-testthat","R-rmarkdown","R-covr"]}],"depends_on":[{"type":"lib","ports":["R-bayesWatch"]}]},{"name":"R-CatEncoders","portdir":"R/R-CatEncoders","version":"0.1.1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=CatEncoders","description":"Encoders for categorical variables","long_description":"Encoders for categorical variables","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-data.table","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-dblr"]}]},{"name":"finufft","portdir":"math/finufft","version":"2.1.0","license":"Apache-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/flatironinstitute/finufft","description":"Flatiron Institute Non-uniform Fast Fourier Transform library, FINUFFT","long_description":"This is a lightweight CPU library to compute the three standard types of non-uniform FFT to a specified precision, in one, two or three dimensions.","active":true,"categories":["science","math"],"maintainers":[],"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clang20","clang21","clang22","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gcc15","gccdevel","gfortran","universal"],"dependencies":[{"type":"build","ports":["pkgconfig","clang-20","gcc15"]},{"type":"lib","ports":["libgcc","fftw-3-single","libomp","fftw-3"]}],"depends_on":[]},{"name":"R-tipitaka","portdir":"R/R-tipitaka","version":"0.1.2","license":"public-domain","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=tipitaka","description":"Data and tools for analyzing the Pali canon","long_description":"Data and tools for analyzing the Pali canon","active":true,"categories":["textproc","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-stringi","R-stringr","R-cpp11","R-CRAN-recommended","R-dplyr","R-magrittr"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-timsac","portdir":"R/R-timsac","version":"1.3.8-4","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=timsac","description":"Time series analysis and control package","long_description":"Time series analysis and control package","active":true,"categories":["science","math","finance","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-stringstatic","portdir":"R/R-stringstatic","version":"0.1.2","license":"public-domain","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=stringstatic","description":"Dependency-free string operations","long_description":"Dependency-free string operations","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-testthat"]}],"depends_on":[]},{"name":"R-simctest","portdir":"R/R-simctest","version":"2.6","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=simctest","description":"Safe implementation of Monte Carlo tests","long_description":"Safe implementation of Monte Carlo tests","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-mcunit"]}]},{"name":"R-rsurface","portdir":"R/R-rsurface","version":"1.1.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=rsurface","description":"Design of rotatable central composite experiments and response surface analysis","long_description":"Design of rotatable central composite experiments and response surface analysis","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-plotly","R-rsm","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-rsm","portdir":"R/R-rsm","version":"2.10.5","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://rvlenth.github.io/rsm","description":"Response-surface analysis","long_description":"Response-surface analysis","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended","R-estimability"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-conf.design","R-FrF2","R-Vdgraph","R-knitr","R-rmarkdown","R-emmeans","R-DoE.base"]}],"depends_on":[{"type":"lib","ports":["R-DoE.wrapper","R-rsurface"]},{"type":"test","ports":["R-emmeans"]}]},{"name":"R-redux","portdir":"R/R-redux","version":"1.1.4","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=redux","description":"R bindings to hiredis","long_description":"R bindings to hiredis","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","pkgconfig","R"]},{"type":"lib","ports":["R-CRAN-recommended","hiredis","R-R6","R-storr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-sys","R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[{"type":"lib","ports":["R-doRedis"]},{"type":"test","ports":["R-ipc"]}]},{"name":"R-mob","portdir":"R/R-mob","version":"0.4.2","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mob","description":"Monotonic Optimal Binning","long_description":"Monotonic Optimal Binning","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-gbm","R-Rborist","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"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":[]},{"name":"R-ipc","portdir":"R/R-ipc","version":"0.1.4","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/fellstat/ipc","description":"Tools for message passing between processes","long_description":"Tools for message passing between processes","active":true,"categories":["devel","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-txtq","R-CRAN-recommended","R-R6","R-shiny"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-promises","R-knitr","R-testthat","R-future","R-rmarkdown","R-redux"]}],"depends_on":[]},{"name":"R-ingredients","portdir":"R/R-ingredients","version":"2.3.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://ModelOriented.github.io/ingredients","description":"Effects and importances of model ingredients","long_description":"Effects and importances of model ingredients","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-ggplot2","R-CRAN-recommended","R-gridExtra","R-scales"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-ranger","R-DALEX","R-r2d3","R-jsonlite","R-knitr","R-testthat","R-rmarkdown","R-covr","R-gower"]}],"depends_on":[{"type":"lib","ports":["R-DALEX","R-modelStudio"]}]},{"name":"R-doRedis","portdir":"R/R-doRedis","version":"3.0.2","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=doRedis","description":"Foreach parallel adapter using the Redis database","long_description":"Create and manage fault-tolerant task queues for R-foreach package using the Redis key/value database.","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-redux","R-iterators","R-CRAN-recommended","R-foreach"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-doRNG"]}]},{"name":"R-deductive","portdir":"R/R-deductive","version":"1.0.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=deductive","description":"Data correction and imputation using deductive methods","long_description":"Data correction and imputation using deductive methods","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-validate","R-lintools","R-CRAN-recommended","R-stringdist"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-tinytest"]}],"depends_on":[]},{"name":"R-SparseMDC","portdir":"R/R-SparseMDC","version":"0.99.5","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SparseMDC","description":"Implementation of SparseMDC algorithm","long_description":"Implementation of SparseMDC algorithm","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-foreach","R-doRNG","R-CRAN-recommended","R-doParallel"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-Rborist","portdir":"R/R-Rborist","version":"0.3-7","license":"(GPL-2+ or MPL-2)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/suiji/Arborist","description":"Extensible, parallelizable implementation of the random forest algorithm","long_description":"Extensible, parallelizable implementation of the random forest algorithm","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-digest","R-CRAN-recommended","R-Rcpp","R-data.table"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-markdown","R-rmarkdown"]}],"depends_on":[{"type":"lib","ports":["R-mob"]}]},{"name":"R-FrF2","portdir":"R/R-FrF2","version":"2.3-3","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=FrF2","description":"Fractional factorial designs with 2-level factors","long_description":"Fractional factorial designs with 2-level factors","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-scatterplot3d","R-DoE.base","R-igraph","R-CRAN-recommended","R-sfsmisc"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-DoE.wrapper","R-FrF2.catlg128","R-RcmdrPlugin.DoE"]},{"type":"test","ports":["R-DoE.base","R-SimDesign","R-rsm"]}]},{"name":"R-DoE.wrapper","portdir":"R/R-DoE.wrapper","version":"0.12","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=DoE.wrapper","description":"Wrapper package for design of experiments functionality","long_description":"Wrapper package for design of experiments functionality","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-DiceDesign","R-AlgDesign","R-FrF2","R-DoE.base","R-CRAN-recommended","R-rsm","R-lhs"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-RcmdrPlugin.DoE"]},{"type":"test","ports":["R-DoE.base"]}]},{"name":"R-BayesSurvival","portdir":"R/R-BayesSurvival","version":"0.2.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=BayesSurvival","description":"Bayesian survival analysis for right-censored data","long_description":"Bayesian survival analysis for right-censored data","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-AlgDesign","portdir":"R/R-AlgDesign","version":"1.2.1.1","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/jvbraun/AlgDesign","description":"Algorithmic experimental design","long_description":"Algorithmic experimental design","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-DoE.wrapper","R-cbcTools"]}]},{"name":"tatami-devel","portdir":"devel/tatami","version":"2024.09.02","license":"MIT","platforms":"any","epoch":0,"replaced_by":null,"homepage":"https://github.com/tatami-inc/tatami","description":"C++ API for all sorts of matrices","long_description":"C++ API for all sorts of matrices","active":true,"categories":["devel","math"],"maintainers":[],"variants":["debug"],"dependencies":[{"type":"build","ports":["cmake","python312","clang-20"]},{"type":"lib","ports":["zlib"]}],"depends_on":[]},{"name":"tatami","portdir":"devel/tatami","version":"3.1.0","license":"MIT","platforms":"any","epoch":0,"replaced_by":null,"homepage":"https://github.com/tatami-inc/tatami","description":"C++ API for all sorts of matrices","long_description":"C++ API for all sorts of matrices","active":true,"categories":["devel","math"],"maintainers":[],"variants":["debug"],"dependencies":[{"type":"build","ports":["cmake","python312","clang-20"]},{"type":"lib","ports":["zlib"]}],"depends_on":[]},{"name":"basiclu","portdir":"math/basiclu","version":"2.2.0","license":"(GPL-3 or MIT)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/ERGO-Code/basiclu","description":"Sparse LU factorization and update","long_description":"Sparse LU factorization and update","active":true,"categories":["math"],"maintainers":[],"variants":["universal"],"dependencies":[{"type":"build","ports":["clang-18"]}],"depends_on":[]},{"name":"twopnt","portdir":"fortran/twopnt","version":"0.1.0","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/perazz/twopnt","description":"Modern Fortran translation of the TWOPNT program for Boundary Value Problems","long_description":"Modern Fortran translation of the TWOPNT program for Boundary Value Problems. The functions are modernized and translated from the original Fortran77 code TWOPNT, written by Dr Joseph F. Grcar at Sandia National Laboratories, Livermore, CA. The baseline version used for the translation is Version 3.29 from April 1998. An object-oriented interface wrapper was also built.","active":true,"categories":["math","fortran"],"maintainers":[],"variants":["gcc10","gcc11","gcc12","gcc13","gcc14","gcc15","gccdevel"],"dependencies":[{"type":"build","ports":["fpm","clang-18","gcc15"]},{"type":"lib","ports":["libgcc"]}],"depends_on":[]},{"name":"R-splitTools","portdir":"R/R-splitTools","version":"1.0.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/mayer79/splitTools","description":"Tools for data splitting","long_description":"Tools for data splitting","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-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-sleev","portdir":"R/R-sleev","version":"1.0.5","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=sleev","description":"Semi-parametric likelihood estimation with errors in variables","long_description":"Semi-parametric likelihood estimation with errors in variables","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-RcppEigen","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-vctrs","R-knitr","R-testthat","R-lme4","R-rmarkdown","R-R.rsp"]}],"depends_on":[]},{"name":"R-mnt","portdir":"R/R-mnt","version":"1.3","license":"CC-BY-4","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=mnt","description":"Affine invariant tests of multivariate normality","long_description":"Affine invariant tests of multivariate normality","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-pracma","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-mixvlmc","portdir":"R/R-mixvlmc","version":"0.2.1","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://fabrice-rossi.github.io/mixvlmc","description":"Variable length Markov chains with covariates","long_description":"Variable length Markov chains with covariates","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-rlang","R-stringr","R-withr","R-ggplot2","R-pROC","R-VGAM","R-butcher","R-CRAN-recommended","R-Rcpp","R-assertthat"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-data.table","R-tibble","R-knitr","R-testthat","R-waldo","R-rmarkdown","R-vdiffr","R-geodist"]}],"depends_on":[]},{"name":"R-kdecopula","portdir":"R/R-kdecopula","version":"0.9.2","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=kdecopula","description":"Kernel smoothing for bivariate copula densities","long_description":"Kernel smoothing for bivariate copula densities","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-quadprog","R-locfit","R-qrng","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-R.rsp","R-VineCopula"]}],"depends_on":[{"type":"test","ports":["R-VineCopula"]}]},{"name":"R-jaggR","portdir":"R/R-jaggR","version":"0.1.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=jaggR","description":"Supporting files and functions for the Bayesian Modelling with JAGS","long_description":"Supporting files and functions for the Bayesian Modelling with JAGS","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-glue","R-formatR","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-hermite","portdir":"R/R-hermite","version":"1.1.2","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=hermite","description":"Generalized Hermite distribution","long_description":"Generalized Hermite distribution","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-maxLik","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-fitteR"]}]}]}