{"count":40911,"next":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=653","previous":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=651","results":[{"name":"R-cpd","description":"Complex Pearson Distributions"},{"name":"R-cpfa","description":"Classification with Parallel Factor Analysis"},{"name":"R-CpGFilter","description":"CpG filtering method based on intra-class correlation coefficients"},{"name":"R-cplm","description":"Compound Poisson Linear Models"},{"name":"R-cpm","description":"Sequential and batch change detection using parametric and non-parametric methods"},{"name":"R-cpop","description":"Detection of multiple changes in slope in univariate time series"},{"name":"R-CPoptim","description":"Convex Partition Optimisation"},{"name":"R-CPP","description":"Composition of Probabilistic Preferences (CPP)"},{"name":"R-cpp11","description":"R-cpp11 helps you to interact with R objects using C++ code"},{"name":"R-cpp11armadillo","description":"Armadillo interface"},{"name":"R-cpp11eigen","description":"Eigen interface"},{"name":"R-cppcontainers","description":"C++ standard template library containers"},{"name":"R-cppdoubles","description":"Fast relative comparisons of floating point numbers in C++"},{"name":"R-cprobit","description":"Conditional probit model for analysing continuous outcomes"},{"name":"R-CptNonPar","description":"Non-parametric change point detection for multivariate time series"},{"name":"R-cramer","description":"Multivariate non-parametric Cramer test for the two-sample problem"},{"name":"R-CRAN-recommended","description":"Meta-port for CRAN-recommended R packages"},{"name":"R-cranlogs","description":"Download logs from the RStudio CRAN mirror"},{"name":"R-crassmat","description":"Conditional Random Sampling Sparse Matrices"},{"name":"R-crawl","description":"Fit continuous-time correlated random walk models to animal movement data"},{"name":"R-crayon","description":"R package for colored terminal output"},{"name":"R-crc32c","description":"Cyclic redundancy check with CPU-specific acceleration"},{"name":"R-crch","description":"Censored Regression with Conditional Heteroscedasticity"},{"name":"R-crctStepdown","description":"Univariate analysis of cluster trials with multiple outcomes"},{"name":"R-credentials","description":"Tools for managing SSH and Git credentials"},{"name":"R-crew","description":"Distributed worker launcher"},{"name":"R-crew.cluster","description":"Crew launcher plugins for traditional high-performance computing clusters"},{"name":"R-CRF","description":"Conditional Random Fields"},{"name":"R-Cronbach","description":"Cronbach’s α and various formulas for confidence intervals"},{"name":"R-crop","description":"Graphics cropping tool"},{"name":"R-crops","description":"Changepoints for a range of penalties"},{"name":"R-crosstable","description":"Crosstables for descriptive analyses"},{"name":"R-crosstalk","description":"Inter-widget interactivity for HTML widgets"},{"name":"R-crossval","description":"Generic functions for cross-validation"},{"name":"R-crqa","description":"Recurrence quantification analysis for categorical and continuous time series"},{"name":"R-crs","description":"Categorical Regression Splines"},{"name":"R-crsmeta","description":"Extract coordinate system metadata"},{"name":"R-crul","description":"HTTP client"},{"name":"R-crwbmetareg","description":"Cluster Robust Wild Bootstrap Meta Regression"},{"name":"R-cryptography","description":"Encrypt and decrypts text ciphers"},{"name":"R-cryptorng","description":"Access system cryptographic pseudorandom number generators"},{"name":"R-csampling","description":"Functions for conditional simulation in regression-scale models"},{"name":"R-csaw","description":"ChIP-Seq Analysis with Windows"},{"name":"R-csci","description":"Current Status Confidence Intervals"},{"name":"R-CSMES","description":"Cost-sensitive multi-criteria ensemble selection for uncertain cost conditions"},{"name":"R-csn","description":"Closed Skew-Normal distribution"},{"name":"R-csurvey","description":"Constrained regression for survey data"},{"name":"R-csvread","description":"Fast specialized CSV file loader"},{"name":"R-CTD","description":"Method for connecting the dots in weighted graphs"},{"name":"R-CTM","description":"Text mining toolkit for Chinese documents"}]}