{"count":40963,"next":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=712","previous":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=710","results":[{"name":"R-RDieHarder","description":"R interface to the DieHarder RNG test-suite"},{"name":"R-Rdimtools","description":"Dimension reduction and estimation methods"},{"name":"R-rdist","description":"Common framework for calculating distance matrices"},{"name":"R-Rdistance","description":"Distance-sampling analyses for density and abundance estimation"},{"name":"R-rdmulti","description":"Analysis of RD designs with multiple cutoffs or scores"},{"name":"R-RDP","description":"Ramer–Douglas–Peucker algorithm"},{"name":"R-Rdpack","description":"Update and manipulate Rd documentation objects"},{"name":"R-rdpower","description":"Power calculations for RD designs"},{"name":"R-rDppDiversity","description":"Subset searching algorithm using DPP greedy map"},{"name":"R-rdrobust","description":"Robust data-driven statistical inference in regression-discontinuity designs"},{"name":"R-Rdrw","description":"Univariate and multivariate damped random walk processes"},{"name":"R-Rdsdp","description":"R interface to DSDP semidefinite programming library"},{"name":"R-RDSsamplesize","description":"RDS sample size estimation and power calculation"},{"name":"R-re2","description":"R interface to Google RE2 (C++) regular expression library"},{"name":"R-re2r","description":"RE2 regular expressions"},{"name":"R-reactable","description":"Interactive data tables for R"},{"name":"R-reactlog","description":"Reactivity visualizer for shiny"},{"name":"R-reactR","description":"React helpers"},{"name":"R-readbitmap","description":"Simple unified interface to read bitmap images (BMP, JPEG, PNG, TIFF)"},{"name":"R-readODS","description":"Read and write ODS files"},{"name":"R-readr","description":"Read rectangular text data"},{"name":"R-readsdmx","description":"Read SDMX-XML data"},{"name":"R-readsparse","description":"Read and write sparse matrices in SVMLight and LibSVM formats"},{"name":"R-readstata13","description":"Import Stata data files"},{"name":"R-readtext","description":"Import and handling for plain and formatted text files"},{"name":"R-readxl","description":"Read Excel files"},{"name":"R-realtest","description":"Framework for unit testing"},{"name":"R-RealVAMS","description":"Multivariate VAM fitting"},{"name":"R-Rearrangement","description":"Monotonize point and interval functional estimates by rearrangement"},{"name":"R-rearrr","description":"Rearrrange data by a set of methods"},{"name":"R-REBayes","description":"Empirical Bayes Estimation and Inference"},{"name":"R-rebib","description":"Convert and aggregate bibliographies"},{"name":"R-rebmix","description":"Finite mixture modelling, clustering and classification"},{"name":"R-recipes","description":"Preprocessing and feature engineering steps for modelling"},{"name":"R-reclin2","description":"Record linkage toolkit"},{"name":"R-redland","description":"RDF library bindings in R"},{"name":"R-rEDM","description":"Empirical Dynamic Modelling"},{"name":"R-redoc","description":"Generates Redoc documentation from an OpenAPI specification"},{"name":"R-redux","description":"R bindings to hiredis"},{"name":"R-RefManageR","description":"Straightforward BibTeX and BibLaTeX bibliography management"},{"name":"R-reformulas","description":"Machinery for processing random effect formulas"},{"name":"R-refund","description":"Regression with Functional Data"},{"name":"R-RegCombin","description":"Partially linear regression under data combination"},{"name":"R-regda","description":"Regularised Discriminant Analysis"},{"name":"R-registry","description":"Infrastructure for R package registries"},{"name":"R-RegKink","description":"Regression kink with a time-varying threshold"},{"name":"R-regmhmm","description":"Hidden Markov Models with regularization"},{"name":"R-rego","description":"Automatic time series forecasting and missing value imputation"},{"name":"R-regport","description":"Regression model processing port"},{"name":"R-regress","description":"Gaussian linear models with linear covariance structure"}]}