{"count":42318,"next":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=733","previous":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=731","results":[{"name":"R-quitte","description":"Bits and pieces of code to use with quitte-style data frames"},{"name":"R-qvalue","description":"Q-value estimation for false discovery rate control"},{"name":"R-qvcalc","description":"Quasi-variances for factor effects in statistical models"},{"name":"R-QZ","description":"Generalized eigenvalues and QZ decomposition"},{"name":"R-r.blip","description":"Bayesian network learning improved project"},{"name":"R-R.cache","description":"Fast and light-weight caching (memoization) of objects and results to speed up computations."},{"name":"R-R.devices","description":"Unified handling of graphics devices"},{"name":"R-R.filesets","description":"Easy handling of and access to files organized in structured directories"},{"name":"R-R.huge","description":"Methods for accessing huge amounts of data"},{"name":"R-r.jive","description":"JIVE decomposition for multi-source data"},{"name":"R-R.matlab","description":"Read and write MAT files and call MATLAB from within R"},{"name":"R-R.methodsS3","description":"S3 methods simplified"},{"name":"R-R.oo","description":"R object-oriented programming with or without references"},{"name":"R-r.proxy","description":"Set proxy in R console"},{"name":"R-R.rsp","description":"Dynamic generation of scientific reports"},{"name":"R-R.utils","description":"R object-oriented programming with or without references"},{"name":"R-R2BayesX","description":"Estimate structured additive regression models with BayesX"},{"name":"R-r2d2","description":"Bivariate (two-dimensional) confidence region and frequency distribution"},{"name":"R-r2d3","description":"Interface to D3 visualizations"},{"name":"R-r2glmm","description":"Computes R squared for mixed (multilevel) models"},{"name":"R-R2HTML","description":"HTML exportation for R objects"},{"name":"R-R2jags","description":"Using R to run JAGS"},{"name":"R-r2mlm","description":"R-squared measures for multilevel models"},{"name":"R-R2OpenBUGS","description":"Running OpenBUGS from R"},{"name":"R-R2ROC","description":"AUC statistics"},{"name":"R-r2rtf","description":"Easily create production-ready Rich Text Format (RTF) tables and figures"},{"name":"R-r2sundials","description":"Rcpp wrapper for SUNDIALS/CVODES library"},{"name":"R-R2WinBUGS","description":"Running WinBUGS and OpenBUGS from R"},{"name":"R-R6","description":"Encapsulated object-oriented programming for R"},{"name":"R-R6causal","description":"R6 class for structural causal models"},{"name":"R-R6DS","description":"R6 reference class-based data structures"},{"name":"R-r6extended","description":"Extension for R6 base class"},{"name":"R-r6methods","description":"Add methods to R6 class definition"},{"name":"R-R6P","description":"Design patterns in R"},{"name":"R-ra4bayesmeta","description":"Reference analysis for Bayesian meta-analysis"},{"name":"R-radarchart","description":"Radar chart from Chart.js"},{"name":"R-ragg","description":"Graphic devices based on AGG"},{"name":"R-RaggedExperiment","description":"Representation of sparse experiments and assays across samples"},{"name":"R-rai","description":"Revisiting-Alpha-Investing for polynomial regression"},{"name":"R-rainbow","description":"Visualize functional data and identifying functional outliers"},{"name":"R-RALSA","description":"R Analyzer for Large-Scale Assessments"},{"name":"R-ramcmc","description":"Building blocks for Robust Adaptive Metropolis algorithm"},{"name":"R-ramify","description":"Additional matrix functionality for R"},{"name":"R-RandomFields","description":"Estimation, prediction and simulation of random fields"},{"name":"R-RandomFieldsUtils","description":"Utilities for the simulation and analysis of random fields and genetic data"},{"name":"R-randomForest","description":"Breiman and Cutler’s Random Forests for classification and regression"},{"name":"R-randomForestSRC","description":"Fast unified random forests for survival, regression and classification (RF-SRC)"},{"name":"R-randomizr","description":"Easy-to-use tools for common forms of random assignment and sampling"},{"name":"R-randomLCA","description":"Random effects latent class analysis"},{"name":"R-randtests","description":"Testing randomness in R"}]}