{"count":51973,"next":"https://ports.macports.org/api/v1/ports/?format=json&ordering=updated_at&page=230","previous":"https://ports.macports.org/api/v1/ports/?format=json&ordering=updated_at&page=228","results":[{"name":"R-NMOF","portdir":"R/R-NMOF","version":"2.10-1","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/enricoschumann/NMOF http://enricoschumann.net/NMOF.htm","description":"Numerical Methods and Optimization in Finance","long_description":"Numerical Methods and Optimization in Finance","active":true,"categories":["science","finance","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-zoo","R-readxl","R-quadprog","R-openxlsx","R-tinytest","R-Rglpk","R-datetimeutils","R-PMwR","R-RUnit"]}],"depends_on":[{"type":"lib","ports":["R-PMwR"]},{"type":"test","ports":["R-MSCMT"]}]},{"name":"R-NNS","portdir":"R/R-NNS","version":"10.9.3","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/OVVO-Financial/NNS","description":"Non-linear Non-parametric Statistics","long_description":"Non-linear Non-parametric Statistics using partial moments.","active":true,"categories":["science","math","finance","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-Rfast","R-data.table","R-xts","R-zoo","R-quantmod","R-doParallel","R-foreach","R-rgl","R-CRAN-recommended","R-Rcpp","R-RcppParallel"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[{"type":"test","ports":["R-influential"]}]},{"name":"R-NPP","portdir":"R/R-NPP","version":"0.6.0","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=NPP","description":"Normalized Power Prior Bayesian analysis","long_description":"Normalized Power Prior Bayesian analysis","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-NPRED","portdir":"R/R-NPRED","version":"1.1.0","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/zejiang-unsw/NPRED","description":"Predictor identifier – nonparametric prediction","long_description":"Predictor identifier – nonparametric prediction","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","R-rmarkdown","R-bookdown","R-SPEI","R-zoo","R-ggplot2","R-knitr"]}],"depends_on":[]},{"name":"R-NPflow","portdir":"R/R-NPflow","version":"0.13.5","license":"LGPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/sistm/NPflow","description":"Bayesian Non-parametrics for automatic gating of flow-cytometry data","long_description":"Bayesian Non-parametrics for automatic gating of flow-cytometry 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-truncnorm","R-reshape2","R-ggplot2","R-GGally","R-ellipse","R-fastcluster","R-pheatmap","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-itertools","R-microbenchmark","R-doParallel","R-foreach"]}],"depends_on":[{"type":"lib","ports":["R-bqror"]}]},{"name":"R-NbClust","portdir":"R/R-NbClust","version":"3.0.1","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=NbClust","description":"Determining the best number of clusters in a data set","long_description":"Determining the best number of clusters in a data set","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-see"]}]},{"name":"R-NegBinBetaBinreg","portdir":"R/R-NegBinBetaBinreg","version":"1.0","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=NegBinBetaBinreg","description":"Negative Binomial and Beta-binomial Bayesian regression models","long_description":"Negative Binomial and Beta-binomial Bayesian regression models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-mvtnorm","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-NetCluster","portdir":"R/R-NetCluster","version":"0.2","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=NetCluster","description":"Clustering for networks","long_description":"Facilitates network clustering and evaluation of cluster configurations.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-sna","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-NetMix","portdir":"R/R-NetMix","version":"0.2.0.2","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/solivella/NetMix","description":"Dynamic mixed-membership network regression model","long_description":"Dynamic mixed-membership network regression model","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-clue","R-gtools","R-igraph","R-lda","R-poisbinom","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-ggplot2","R-scales","R-network","R-ergm"]}],"depends_on":[]},{"name":"R-NetSwan","portdir":"R/R-NetSwan","version":"0.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=NetSwan","description":"Network Strengths and Weaknesses Analysis","long_description":"Network Strengths and Weaknesses Analysis","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-igraph","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-tidygraph"]}]},{"name":"R-NeuralNetTools","portdir":"R/R-NeuralNetTools","version":"1.5.3","license":"public-domain","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/fawda123/NeuralNetTools","description":"Visualization and analysis tools for neural networks","long_description":"Visualization and analysis tools for neural networks","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-ggplot2","R-scales","R-CRAN-recommended","R-reshape2","R-tidyr"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown","R-caret","R-neuralnet","R-RSNNS"]}],"depends_on":[{"type":"test","ports":["R-RSNNS"]}]},{"name":"R-Newdistns","portdir":"R/R-Newdistns","version":"2.1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Newdistns","description":"Computes PDF, CDF, quantile, random numbers and measures of inference for 19 general families of distributions.","long_description":"Computes PDF, CDF, quantile, random numbers and measures of inference for 19 general families of distributions.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-AdequacyModel","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-orders"]}]},{"name":"R-NlcOptim","portdir":"R/R-NlcOptim","version":"0.6","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=NlcOptim","description":"Solve non-linear optimization with non-linear constraints","long_description":"Optimization for non-linear objective and constraint functions. Linear or non-linear equality and inequality constraints are allowed. It accepts the input parameters as a constrained matrix.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-quadprog","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-FFP"]},{"type":"test","ports":["R-pracma"]}]},{"name":"R-Nmix","portdir":"R/R-Nmix","version":"2.0.5","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Nmix","description":"Bayesian inference on univariate normal mixtures","long_description":"Bayesian inference on univariate normal mixtures","active":true,"categories":["science","math","R"],"maintainers":[],"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"dependencies":[{"type":"build","ports":["clang-19","R","gcc14"]},{"type":"lib","ports":["R-CRAN-recommended","libgcc14","libgcc"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-NonProbEst","portdir":"R/R-NonProbEst","version":"0.2.4","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=NonProbEst","description":"Estimation in non-probability sampling","long_description":"Estimation in non-probability sampling","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-glmnet","R-sampling","R-e1071","R-CRAN-recommended","R-caret"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-NormPsy","portdir":"R/R-NormPsy","version":"1.0.8","license":"GPL","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=NormPsy","description":"Normalisation of psychometric tests","long_description":"Normalisation of psychometric tests","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":["libgcc14","libgcc","R-CRAN-recommended","R-lcmm"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-lcmm"]}]},{"name":"R-NormalLaplace","portdir":"R/R-NormalLaplace","version":"0.3-1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=NormalLaplace","description":"Normal Laplace Distribution","long_description":"Normal Laplace Distribution","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-GeneralizedHyperbolic","R-CRAN-recommended","R-DistributionUtils"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-RUnit"]}],"depends_on":[{"type":"test","ports":["R-fitteR"]}]},{"name":"R-NovelDistns","portdir":"R/R-NovelDistns","version":"0.1.0","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=NovelDistns","description":"Computes PDF, CDF, quantile, random numbers and measures of inference for 3 general families of distributions.","long_description":"Computes PDF, CDF, quantile, random numbers and measures of inference for 3 general families of distributions.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-rootSolve","R-gsl","R-CRAN-recommended","R-AdequacyModel"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-Numero","portdir":"R/R-Numero","version":"1.9.8","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=Numero","description":"Statistical framework to define subgroups in complex datasets","long_description":"Statistical framework to define subgroups in complex datasets","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"]},{"type":"test","ports":["R-rmarkdown","R-knitr"]}],"depends_on":[]},{"name":"R-OAIHarvester","portdir":"R/R-OAIHarvester","version":"0.3-4","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=OAIHarvester","description":"Harvest metadata using OAI-PMH v. 2.0","long_description":"Harvest metadata using OAI-PMH v. 2.0","active":true,"categories":["textproc","science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-curl","R-xml2","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-topicmodels"]}]},{"name":"R-OBRE","portdir":"R/R-OBRE","version":"0.2-0","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=OBRE","description":"Optimal b-robust estimator tools","long_description":"Optimal b-robust estimator tools","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-OBsMD","portdir":"R/R-OBsMD","version":"12.0","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=OBsMD","description":"Objective Bayesian model discrimination in follow-up designs","long_description":"Objective Bayesian model discrimination in follow-up designs","active":true,"categories":["science","math","R"],"maintainers":[],"variants":["clang13","clang14","clang15","clang16","clang17","clang18","clang19","clangdevel","g95","gcc10","gcc11","gcc12","gcc13","gcc14","gccdevel","gfortran"],"dependencies":[{"type":"build","ports":["clang-19","R","gcc14"]},{"type":"lib","ports":["R-CRAN-recommended","libgcc14","libgcc"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-ODRF","portdir":"R/R-ODRF","version":"0.0.4","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://liuyu-star.github.io/ODRF","description":"Oblique decision random forest for classification and regression","long_description":"Oblique decision random forest for classification and regression","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-magrittr","R-rlang","R-glue","R-lifecycle","R-doParallel","R-foreach","R-partykit","R-Pursuit","R-CRAN-recommended","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown","R-spelling"]}],"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-OpenCL","portdir":"R/R-OpenCL","version":"0.2-10","license":"BSD","platforms":"{darwin > 9}","epoch":0,"replaced_by":null,"homepage":"https://www.rforge.net/OpenCL","description":"Interface allowing R to use OpenCL","long_description":"This package provides an interface to OpenCL, allowing R to leverage computing power of GPUs and other HPC accelerator devices.","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":[]},{"name":"R-OpenImageR","portdir":"R/R-OpenImageR","version":"1.3.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://mlampros.github.io/OpenImageR","description":"Image processing toolkit","long_description":"Image processing toolkit","active":true,"categories":["graphics","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-RcppArmadillo","R-jpeg","R-png","R-lifecycle","R-shiny","R-tiff","R-CRAN-recommended","libgcc14","libgcc","R-R6","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown","R-covr"]}],"depends_on":[{"type":"test","ports":["R-ClusterR"]}]},{"name":"R-OpenML","portdir":"R/R-OpenML","version":"1.12","license":"BSD","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=OpenML","description":"Open Machine Learning and Open Data Platform","long_description":"Open Machine Learning and Open Data Platform","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-data.table","R-jsonlite","R-stringi","R-digest","R-memoise","R-backports","R-httr","R-BBmisc","R-XML","R-CRAN-recommended","R-checkmate","R-curl"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-OpenMx","portdir":"R/R-OpenMx","version":"2.21.13","license":"Apache-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"http://openmx.ssri.psu.edu","description":"Extended structural equation modelling","long_description":"Extended structural equation modelling","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-RcppParallel","R-StanHeaders","R-lifecycle","R-digest","R-rpf","R-CRAN-recommended","libgcc14","libgcc","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-mvtnorm","R-numDeriv","R-reshape2","R-ggplot2","R-knitr","R-testthat","R-lme4","R-markdown","R-rmarkdown","R-roxygen2","R-covr","R-snowfall","R-ifaTools","R-umx"]}],"depends_on":[{"type":"lib","ports":["R-umx","R-MBESS","R-ctsemOMX","R-ifaTools","R-mxsem","R-nlpsem","R-CoTiMA","R-semPlot","R-semtree","R-tidySEM"]},{"type":"test","ports":["R-nonnest2"]}]},{"name":"R-OwenQ","portdir":"R/R-OwenQ","version":"1.0.7","license":"BSD","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=OwenQ","description":"Owen Q-function","long_description":"Evaluates the Owen Q-function for an integer value of the degrees of freedom, by applying Owen’s algorithm.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-RcppEigen","R-RcppNumerical","R-CRAN-recommended","R-BH","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-mvtnorm","R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]},{"name":"R-PASWR","portdir":"R/R-PASWR","version":"1.3","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PASWR","description":"Probability and Statistics with R","long_description":"Probability and Statistics with R","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-e1071","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-cowplot"]}]},{"name":"R-PAGFL","portdir":"R/R-PAGFL","version":"1.1.1","license":"AGPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/Paul-Haimerl/PAGFL","description":"Joint estimation of latent groups and group-specific coefficients in panel data models","long_description":"Joint estimation of latent groups and group-specific coefficients in panel data 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-RcppParallel","R-lifecycle","R-ggplot2","R-CRAN-recommended","libgcc14","libgcc","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-testthat"]}],"depends_on":[]},{"name":"R-PCAmixdata","portdir":"R/R-PCAmixdata","version":"3.1","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PCAmixdata","description":"Multivariate analysis of mixed data","long_description":"Multivariate analysis of mixed data","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-rmarkdown"]}],"depends_on":[{"type":"lib","ports":["R-ClustOfVar","R-GroupBN"]}]},{"name":"R-PCICt","portdir":"R/R-PCICt","version":"0.5-4.4","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PCICt","description":"Implementation of POSIXct work-alike for 365- and 360-day calendars","long_description":"Implementation of POSIXct work-alike for 365- and 360-day calendars","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"]}],"depends_on":[{"type":"test","ports":["R-metR","R-stars"]}]},{"name":"R-PCovR","portdir":"R/R-PCovR","version":"2.7.2","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PCovR","description":"Principal covariates regression","long_description":"Principal covariates regression","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-GPArotation","R-ThreeWay","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-PDQutils","portdir":"R/R-PDQutils","version":"0.1.6","license":"LGPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PDQutils","description":"PDQ functions via Gram Charlier, Edgeworth and Cornish Fisher approximations","long_description":"PDQ functions via Gram Charlier, Edgeworth and Cornish Fisher approximations","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-CRAN-recommended","R-moments","R-orthopolynom"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-reshape2","R-ggplot2","R-knitr","R-testthat"]}],"depends_on":[{"type":"lib","ports":["R-sadists"]},{"type":"test","ports":["R-fromo"]}]},{"name":"R-PDSCE","portdir":"R/R-PDSCE","version":"1.2.1","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PDSCE","description":"Positive Definite Sparse Covariance Estimators","long_description":"Positive Definite Sparse Covariance Estimators","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-UNPaC"]}]},{"name":"R-PDShiny","portdir":"R/R-PDShiny","version":"0.1.0","license":"GPL-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PDShiny","description":"Probability Distribution Shiny","long_description":"Probability Distribution Shiny","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-shiny","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-PHSMM","portdir":"R/R-PHSMM","version":"1.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PHSMM","description":"Penalised maximum likelihood estimation for hidden semi-Markov models","long_description":"Penalised maximum likelihood estimation for hidden semi-Markov 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-CRAN-recommended","libgcc","libgcc14","R-Rcpp","R-RcppArmadillo"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"test","ports":["R-LaMa"]}]},{"name":"R-PKI","portdir":"R/R-PKI","version":"0.1-14","license":"(GPL-2 or GPL-3)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://www.rforge.net/PKI","description":"Public Key Infrastucture for R, based on the X.509 standard","long_description":"Public Key Infrastucture for R, based on the X.509 standard","active":true,"categories":["science","crypto","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","pkgconfig","R"]},{"type":"lib","ports":["openssl3","R-base64enc","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-gmp"]}],"depends_on":[{"type":"lib","ports":["R-rsconnect"]}]},{"name":"R-PLMIX","portdir":"R/R-PLMIX","version":"2.1.1","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PLMIX","description":"Bayesian analysis of finite mixtures of Plackett–Luce models for partial rankings/orderings","long_description":"Bayesian analysis of finite mixtures of Plackett–Luce models for partial rankings/orderings","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-gtools","R-coda","R-reshape2","R-ggplot2","R-gridExtra","R-foreach","R-MCMCpack","R-label.switching","R-rcdd","R-prefmod","R-ggmcmc","R-PlackettLuce","R-StatRank","R-pmr","R-radarchart","R-rankdist","R-CRAN-recommended","R-Rcpp","R-abind"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-doParallel"]}],"depends_on":[{"type":"test","ports":["R-PlackettLuce"]}]},{"name":"R-PLordprob","portdir":"R/R-PLordprob","version":"1.1","license":"GPL-2","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PLordprob","description":"Multivariate ordered probit model via pairwise likelihood","long_description":"Multivariate ordered probit model via pairwise likelihood","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-mnormt","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-PMA","portdir":"R/R-PMA","version":"1.2-4","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://github.com/bnaras/PMA","description":"Penalized Multivariate Analysis","long_description":"Penalized Multivariate Analysis","active":true,"categories":["science","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-19"]},{"type":"lib","ports":["R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[{"type":"lib","ports":["R-LPGraph","R-RFCCA","R-SmCCNet"]}]},{"name":"R-PMCMR","portdir":"R/R-PMCMR","version":"4.4","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PMCMR","description":"Calculate pairwise multiple comparisons of mean rank sums","long_description":"Calculate pairwise multiple comparisons of mean rank sums","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-multcompView"]}],"depends_on":[{"type":"lib","ports":["R-jmv"]}]},{"name":"R-PMCMRplus","portdir":"R/R-PMCMRplus","version":"1.9.12","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PMCMRplus","description":"Calculate pairwise multiple comparisons of mean rank sums extended","long_description":"Calculate pairwise multiple comparisons of mean rank sums extended","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-Rmpfr","R-gmp","R-mvtnorm","R-SuppDists","R-multcompView","R-kSamples","R-BWStest","R-CRAN-recommended","libgcc14","gmp","mpfr","libgcc"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-e1071","R-xtable","R-knitr","R-rmarkdown","R-car","R-multcomp","R-pwr"]}],"depends_on":[{"type":"lib","ports":["R-statsExpressions"]}]},{"name":"R-PMwR","portdir":"R/R-PMwR","version":"0.19-5","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://git.sr.ht/~enricoschumann/PMwR","description":"Portfolio Management with R","long_description":"Portfolio Management with R","active":true,"categories":["science","finance","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-textutils","R-datetimeutils","R-NMOF","R-orgutils","R-CRAN-recommended","R-zoo","R-fastmatch"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-crayon","R-rbenchmark","R-tinytest"]}],"depends_on":[{"type":"test","ports":["R-NMOF"]}]},{"name":"R-PNAR","portdir":"R/R-PNAR","version":"1.7","license":"GPL-2+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PNAR","description":"Poisson network autoregressive models","long_description":"Poisson network autoregressive models","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-igraph","R-nloptr","R-doParallel","R-Rfast","R-CRAN-recommended","R-foreach","R-Rfast2"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-POSetR","portdir":"R/R-POSetR","version":"1.1.4","license":"GPL-2+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=POSetR","description":"Partially Ordered Sets in R","long_description":"Partially Ordered Sets in R","active":true,"categories":["science","math","R","economics"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-Rdpack","R-Rcpp","R-CRAN-recommended","R-igraph"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-PPMiss","portdir":"R/R-PPMiss","version":"0.1.1","license":"GPL-3+","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PPMiss","description":"Copula-based estimator for long-range dependent processes under missing data","long_description":"Copula-based estimator for long-range dependent processes under missing 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-copula","R-CRAN-recommended","libgcc","libgcc14","R-zoo","R-pracma"]},{"type":"run","ports":["R"]}],"depends_on":[]},{"name":"R-PRIMME","portdir":"R/R-PRIMME","version":"3.2-6","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=PRIMME","description":"PReconditioned Iterative MultiMethod Eigensolver for solving symmetric/Hermitian eigenvalue problems and singular value problems","long_description":"PReconditioned Iterative MultiMethod Eigensolver for solving symmetric/Hermitian eigenvalue problems and singular value problems","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":"test","ports":["R-Rssa"]}]},{"name":"R-PROJ","portdir":"R/R-PROJ","version":"0.5.0","license":"GPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://hypertidy.github.io/PROJ","description":"Generic coordinate system transformations using PROJ","long_description":"Generic coordinate system transformations using PROJ","active":true,"categories":["science","gis","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","pkgconfig","R"]},{"type":"lib","ports":["proj9","R-CRAN-recommended","R-wk","R-lifecycle"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-sf","R-spelling","R-rmarkdown","R-testthat","R-knitr"]}],"depends_on":[{"type":"lib","ports":["R-reproj"]}]}]}