{"count":51501,"next":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-updated_at&page=703","previous":"https://ports.macports.org/api/v1/ports/?format=json&ordering=-updated_at&page=701","results":[{"name":"R-TaylorRussell","portdir":"R/R-TaylorRussell","version":"1.2.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=TaylorRussell","description":"Taylor–Russell function for multiple predictors","long_description":"Taylor–Russell function for multiple predictors","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-shiny","R-shinyWidgets","R-CRAN-recommended","R-mvtnorm"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-TSVC","portdir":"R/R-TSVC","version":"1.5.3","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=TSVC","description":"Tree-structured modelling of varying coefficients","long_description":"Tree-structured modelling of varying coefficients","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-plotrix","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-AER"]}],"depends_on":[]},{"name":"R-TSS.RESTREND","portdir":"R/R-TSS.RESTREND","version":"0.3.1","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=TSS.RESTREND","description":"Time Series Segmentation of Residual Trends","long_description":"Time Series Segmentation of Residual Trends","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-broom","R-strucchange","R-bfast","R-mblm","R-CRAN-recommended","R-RcppRoll","R-ggplot2"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-car","R-rgl"]}],"depends_on":[]},{"name":"R-TSEtools","portdir":"R/R-TSEtools","version":"0.2.2","license":"BSD","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=TSEtools","description":"Tools to perform some descriptive data analysis for assets","long_description":"Tools to perform some descriptive data analysis for assets","active":true,"categories":["science","finance","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-quantmod","R-xts","R-CRAN-recommended","R-quadprog"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-TSCI","portdir":"R/R-TSCI","version":"3.0.4","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=TSCI","description":"Tools for causal inference with possibly invalid instrumental variables","long_description":"Tools for causal inference with possibly invalid instrumental variables","active":true,"categories":["science","math","R"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-xgboost","R-CRAN-recommended","R-Rfast","R-fastDummies","R-ranger"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-withr","R-testthat","R-fda"]}],"depends_on":[]},{"name":"R-TSA","portdir":"R/R-TSA","version":"1.3.1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://stat.uiowa.edu/~kchan/TSA.htm","description":"Time Series Analysis","long_description":"Time Series Analysis","active":true,"categories":["science","math","R"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-locfit","R-tseries","R-CRAN-recommended","R-leaps"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-dynlm"]}]},{"name":"R-TOHM","portdir":"R/R-TOHM","version":"1.4","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=TOHM","description":"Testing One Hypothesis Multiple Times","long_description":"Approximations of global p-values when testing hypothesis in presence of non-identifiable nuisance parameters.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-nloptr","R-EQL","R-Rmpfr","R-CRAN-recommended","R-igraph"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-TFisher","portdir":"R/R-TFisher","version":"0.2.0","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=TFisher","description":"Optimal thresholding Fisher’s p-value combination method","long_description":"Optimal thresholding Fisher’s p-value combination method","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-mvtnorm","R-sn","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-Synth","portdir":"R/R-Synth","version":"1.1-8","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Synth","description":"Synthetic control group method for comparative case studies","long_description":"Synthetic control group method for comparative case studies","active":true,"categories":["science","R","economics"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-rgenoud","R-optimx","R-CRAN-recommended","R-kernlab"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-MSCMT"]}]},{"name":"R-SurvRegCensCov","portdir":"R/R-SurvRegCensCov","version":"1.7","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SurvRegCensCov","description":"Weibull regression for a right-censored endpoint with interval-censored covariate","long_description":"Weibull regression for a right-censored endpoint with interval-censored covariate","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-numDeriv","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-SurvMetrics","portdir":"R/R-SurvMetrics","version":"0.5.0","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/skyee1/SurvMetrics","description":"Predictive evaluation metrics in survival analysis","long_description":"Predictive evaluation metrics in survival analysis","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-randomForestSRC","R-CRAN-recommended","R-pec","R-survminer"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-ggplot2","R-knitr","R-testthat","R-rmarkdown","R-caret","R-ggpubr"]}],"depends_on":[{"type":"test","ports":["R-aorsf"]}]},{"name":"R-SuperLearner","portdir":"R/R-SuperLearner","version":"2.0-29","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/ecpolley/SuperLearner","description":"Implements the super-learner prediction method and contains a library of prediction algorithms to be used in the super-learner","long_description":"Implements the super-learner prediction method and contains a library of prediction algorithms to be used in the super-learner","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-cvAUC","R-nnls","R-CRAN-recommended","R-gam"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-tmle","R-ctmle","R-nlpred","R-drtmle","R-AIPW","R-lmtp"]},{"type":"test","ports":["R-targeted","R-ltmle","R-medflex","R-hal9001","R-nestedcv"]}]},{"name":"R-SummarizedExperiment","portdir":"R/R-SummarizedExperiment","version":"1.34.0","license":"Artistic-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://bioconductor.org/packages/SummarizedExperiment","description":"SummarizedExperiment container","long_description":"SummarizedExperiment container","active":true,"categories":["science","R","bioconductor"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-S4Vectors","R-IRanges","R-DelayedArray","R-MatrixGenerics","R-BiocGenerics","R-GenomicRanges","R-S4Arrays","R-CRAN-recommended","R-GenomeInfoDb","R-Biobase"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-apeglm","R-glmGamPoi","R-InteractionSet","R-VariantAnnotation","R-csaw","R-SingleCellExperiment","R-MultiAssayExperiment","R-RaggedExperiment","R-systemPipeR","R-DESeq2","R-GenomicAlignments"]},{"type":"test","ports":["R-edgeR","R-S4Vectors","R-MatrixGenerics","R-Seurat"]}]},{"name":"R-StatRank","portdir":"R/R-StatRank","version":"0.0.6","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=StatRank","description":"Statistical rank aggregation: inference, evaluation and visualization","long_description":"Statistical rank aggregation: inference, evaluation and visualization","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-ggplot2","R-truncdist","R-CRAN-recommended","R-plyr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-gridExtra","R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-PLMIX"]},{"type":"test","ports":["R-PlackettLuce"]}]},{"name":"R-StableEstim","portdir":"R/R-StableEstim","version":"2.2","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://geobosh.github.io/StableEstim","description":"Estimate the four parameters of stable laws using different methods","long_description":"Estimate the four parameters of stable laws using different methods","active":true,"categories":["science","math","R"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-testthat","R-Rdpack","R-fBasics","R-xtable","R-CRAN-recommended","R-stabledist","R-numDeriv"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-TempStable"]}]},{"name":"R-SphericalCubature","portdir":"R/R-SphericalCubature","version":"1.5","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SphericalCubature","description":"Numerical integration over spheres and balls in n-dimensions, multivariate polar coordinates","long_description":"Numerical integration over spheres and balls in n-dimensions, multivariate polar coordinates","active":true,"categories":["science","math","R"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-SimplicialCubature","R-mvmesh","R-abind","R-CRAN-recommended","R-cubature"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-gensphere"]}]},{"name":"R-SpatialGraph","portdir":"R/R-SpatialGraph","version":"1.0-4","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/garciapintado/SpatialGraph","description":"SpatialGraph class","long_description":"SpatialGraph class","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-pracma","R-shape","R-splancs","R-sp","R-CRAN-recommended","R-sf","R-igraph"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-SparseMSE","portdir":"R/R-SparseMSE","version":"2.0.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SparseMSE","description":"Multiple Systems Estimation for Sparse Capture Data","long_description":"Multiple Systems Estimation for Sparse Capture Data","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-lpSolve","R-Rcapture"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"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-16","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-SparseGrid","portdir":"R/R-SparseGrid","version":"0.8.2","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SparseGrid","description":"Sparse grid integration in R","long_description":"Sparse grid integration in R","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-mvtnorm","R-statmod","R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-gofCopula","R-lqmm","R-lavacreg"]},{"type":"test","ports":["R-docopulae","R-tram"]}]},{"name":"R-SmCCNet","portdir":"R/R-SmCCNet","version":"2.0.3","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://kechrislab.github.io/SmCCNet","description":"Sparse Multiple Canonical Correlation Network analysis tool","long_description":"Sparse Multiple Canonical Correlation Network analysis tool","active":true,"categories":["science","math","R"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-future","R-igraph","R-furrr","R-pbapply","R-rlist","R-pROC","R-pracma","R-PMA","R-EnvStats","R-spls","R-CRAN-recommended","R-magrittr","R-purrr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-dplyr","R-reshape2","R-knitr","R-testthat","R-rmarkdown","R-tidyverse","R-caret","R-shadowtext","R-mltools"]}],"depends_on":[]},{"name":"R-Sleuth3","portdir":"R/R-Sleuth3","version":"1.0-6","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://r-forge.r-project.org/projects/Sleuth3","description":"Data-sets from Statistical Sleuth (3rd ed.)","long_description":"Data-sets from Statistical Sleuth (3rd ed.)","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-Sleuth2","portdir":"R/R-Sleuth2","version":"2.0-7","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://r-forge.r-project.org/projects/sleuth2","description":"Data-sets from Statistical Sleuth (2nd ed.)","long_description":"Data-sets from Statistical Sleuth (2nd ed.)","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-heplots"]}]},{"name":"R-SkewHyperbolic","portdir":"R/R-SkewHyperbolic","version":"0.4-2","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SkewHyperbolic","description":"Skew hyperbolic Student t distribution","long_description":"Skew hyperbolic Student t distribution","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-GeneralizedHyperbolic","R-CRAN-recommended","R-DistributionUtils"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-RUnit"]}],"depends_on":[{"type":"lib","ports":["R-tsdistributions","R-rugarch"]},{"type":"test","ports":["R-DistributionUtils","R-fitteR","R-kdensity","R-GeneralizedHyperbolic"]}]},{"name":"R-SingleCellExperiment","portdir":"R/R-SingleCellExperiment","version":"1.26.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://bioconductor.org/packages/SingleCellExperiment","description":"S4 classes for single-cell data","long_description":"S4 classes for single-cell data","active":true,"categories":["science","R","bioconductor"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-DelayedArray","R-GenomicRanges","R-SummarizedExperiment","R-CRAN-recommended","R-BiocGenerics","R-S4Vectors"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown","R-BiocStyle","R-Rtsne"]}],"depends_on":[{"type":"lib","ports":["R-glmGamPoi","R-nebula"]},{"type":"test","ports":["R-harmony","R-Seurat"]}]},{"name":"R-SimplicialCubature","portdir":"R/R-SimplicialCubature","version":"1.3","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SimplicialCubature","description":"Integration of functions over simplices","long_description":"Integration of functions over simplices","active":true,"categories":["science","math","R"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-mvmesh","R-gensphere","R-polyhedralCubature","R-SphericalCubature"]}]},{"name":"R-SimComp","portdir":"R/R-SimComp","version":"3.3","license":"GPL","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SimComp","description":"Simultaneous comparisons for multiple endpoints","long_description":"Simultaneous comparisons for multiple endpoints","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-mratios","R-mvtnorm","R-CRAN-recommended","R-multcomp"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-ANOM"]},{"type":"test","ports":["R-multcomp"]}]},{"name":"R-SharpeR","portdir":"R/R-SharpeR","version":"1.3.0","license":"LGPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/shabbychef/SharpeR","description":"Statistical significance of the Sharpe ratio","long_description":"Statistical significance of the Sharpe ratio","active":true,"categories":["science","math","R"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-matrixcalc"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-TTR","R-quantmod","R-timeSeries","R-xtable","R-sandwich","R-xts","R-knitr"]}],"depends_on":[{"type":"test","ports":["R-madness","R-sadists"]}]},{"name":"R-ShapleyValue","portdir":"R/R-ShapleyValue","version":"0.2.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=ShapleyValue","description":"Shapley value regression for relative importance of attributes","long_description":"Shapley value regression for relative importance of attributes","active":true,"categories":["science","R","economics"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-tidyverse","R-kableExtra"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-SetMethods","portdir":"R/R-SetMethods","version":"4.0","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SetMethods","description":"Functions for set-theoretic multi-method research and advanced QCA","long_description":"Functions for set-theoretic multi-method research and advanced QCA","active":true,"categories":["science","R"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-ggrepel","R-stargazer","R-QCA","R-admisc","R-ggplot2","R-fmsb","R-CRAN-recommended","R-scatterplot3d","R-betareg"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-SemiPar","portdir":"R/R-SemiPar","version":"1.0-4.2","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SemiPar","description":"Semiparametic regression","long_description":"Semiparametic regression","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-bayesGAM"]},{"type":"test","ports":["R-expectreg","R-cgam"]}]},{"name":"R-SemiMarkov","portdir":"R/R-SemiMarkov","version":"1.4.6","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SemiMarkov","description":"Multi-states semi-Markov models","long_description":"Multi-states semi-Markov models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-numDeriv","R-Rsolnp","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-SeBR","portdir":"R/R-SeBR","version":"1.0.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://drkowal.github.io/SeBR","description":"Semi-parametric Bayesian regression analysis","long_description":"Semi-parametric Bayesian regression analysis","active":true,"categories":["science","math","R"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-fields","R-spikeSlabGAM","R-GpGp","R-CRAN-recommended","R-statmod","R-quantreg"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[]},{"name":"R-ScaledMatrix","portdir":"R/R-ScaledMatrix","version":"1.12.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/LTLA/ScaledMatrix","description":"Creating a DelayedMatrix of scaled and centered values","long_description":"Creating a DelayedMatrix of scaled and centered values","active":true,"categories":["science","R","bioconductor"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-DelayedArray","R-CRAN-recommended","R-S4Vectors"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-DelayedMatrixStats","R-knitr","R-testthat","R-rmarkdown","R-BiocStyle","R-BiocSingular"]}],"depends_on":[{"type":"lib","ports":["R-BiocSingular"]}]},{"name":"R-SUMMER","portdir":"R/R-SUMMER","version":"1.4.0","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://richardli.github.io/SUMMER","description":"Small-area-estimation unit/area models and methods","long_description":"Small-area-estimation unit/area models and methods for estimation in R.","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-survey","R-reshape2","R-RColorBrewer","R-ggplot2","R-scales","R-ggridges","R-haven","R-data.table","R-fields","R-shadowtext","R-terra","R-sf","R-spdep","R-CRAN-recommended","R-viridis","R-sp"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-survey"]}]},{"name":"R-SSsimple","portdir":"R/R-SSsimple","version":"0.6.6","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SSsimple","description":"Simulate, solve state space models","long_description":"Simulate, solve state space models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-mvtnorm","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-maps"]}],"depends_on":[{"type":"test","ports":["R-widals"]}]},{"name":"R-SSVS","portdir":"R/R-SSVS","version":"2.0.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/sabainter/SSVS","description":"Functions for performing stochastic search variable selection (SSVS)","long_description":"Functions for performing stochastic search variable selection (SSVS)","active":true,"categories":["science","math","R"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-rlang","R-BoomSpikeSlab","R-bayestestR","R-checkmate","R-ggplot2","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-rmarkdown","R-psych","R-AER","R-shinyWidgets","R-reactable","R-glue","R-readxl","R-bslib","R-knitr","R-scales","R-shiny","R-shinyjs","R-testthat"]}],"depends_on":[]},{"name":"R-SSRA","portdir":"R/R-SSRA","version":"0.1-0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SSRA","description":"Sakai Sequential Relation Analysis","long_description":"Sakai Sequential Relation Analysis","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-stringr","R-shape","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-SSNbayes","portdir":"R/R-SSNbayes","version":"0.0.3","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://edgarsantos-fernandez.github.io/SSNbayes","description":"Bayesian spatio-temporal analysis in stream networks","long_description":"Bayesian spatio-temporal analysis in stream networks","active":true,"categories":["science","math","R"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-rstan","R-sf","R-CRAN-recommended","R-SSN2","R-plyr","R-dplyr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-SSGL","portdir":"R/R-SSGL","version":"1.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SSGL","description":"Spike-and-Slab Group Lasso for group-regularized generalized linear models","long_description":"Spike-and-Slab Group Lasso for group-regularized generalized linear models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-pracma","R-grpreg","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-SQUAREM","portdir":"R/R-SQUAREM","version":"2021.1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SQUAREM","description":"Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms","long_description":"Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms","active":true,"categories":["science","math","R"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-ashr","R-GNE","R-codalm","R-lava"]}]},{"name":"R-SQRL","portdir":"R/R-SQRL","version":"1.0.2","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SQRL","description":"Enhanced interaction with ODBC databases","long_description":"Enhanced interaction with ODBC databases","active":true,"categories":["databases","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-CRAN-recommended","R-RODBC"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-SQL","portdir":"R/R-SQL","version":"0.1.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SQL","description":"Execute SQL statements","long_description":"Run SQL statements on in-memory data frames within a temporary in-memory DuckDB data-base.","active":true,"categories":["databases","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-duckdb","R-arrow","R-DBI","R-CRAN-recommended","R-stringr"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-SPINA","portdir":"R/R-SPINA","version":"4.1.0","license":"BSD","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://spina.sourceforge.net","description":"Structure Parameter Inference Approach","long_description":"Calculates constant structure parameters of endocrine homeostatic systems from equilibrium hormone concentrations.","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-SPIA","portdir":"R/R-SPIA","version":"2.56.0","license":"Restrictive","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://bioconductor.org/packages/SPIA","description":"Signaling Pathway Impact Analysis (SPIA) using combined evidence of pathway over-representation and unusual signalling perturbations","long_description":"Signaling Pathway Impact Analysis (SPIA) using combined evidence of pathway over-representation and unusual signalling perturbations","active":true,"categories":["science","R","bioconductor"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-KEGGgraph","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-Rgraphviz","R-graph"]}],"depends_on":[{"type":"test","ports":["R-KEGGgraph"]}]},{"name":"R-SPEI","portdir":"R/R-SPEI","version":"1.8.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/sbegueria/SPEI","description":"Calculation of the standardized precipitation-evapotranspiration index","long_description":"Calculation of the standardized precipitation-evapotranspiration index","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-checkmate","R-ggplot2","R-lubridate","R-lmom","R-lmomco","R-CRAN-recommended","R-TLMoments","R-reshape","R-zoo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat","R-covr"]}],"depends_on":[{"type":"test","ports":["R-NPRED","R-tidyindex"]}]},{"name":"R-SOP","portdir":"R/R-SOP","version":"1.0-1","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SOP","description":"Generalised additive p-spline regression models estimation","long_description":"Generalised additive p-spline regression models estimation","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-SMM","portdir":"R/R-SMM","version":"1.0.2","license":"GPL","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SMM","description":"Simulation and estimation of multi-state discrete-time semi-Markov and Markov models","long_description":"Simulation and estimation of multi-state discrete-time semi-Markov and Markov models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-DiscreteWeibull","R-seqinr","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-SIS","portdir":"R/R-SIS","version":"0.8-8","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=SIS","description":"Sure Independence Screening","long_description":"Sure Independence Screening","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-glmnet","R-ncvreg","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-misspi"]}]},{"name":"R-SIHR","portdir":"R/R-SIHR","version":"2.1.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://zywang0701.github.io/SIHR","description":"Statistical inference in high-dimensional regression","long_description":"Statistical inference in high-dimensional regression","active":true,"categories":["science","math","R"],"maintainers":[{"name":"vital.had","github":"barracuda156","ports_count":2571}],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-glmnet","R-CVXR"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown","R-R.rsp"]}],"depends_on":[{"type":"lib","ports":["R-MaximinInfer"]}]}]}