{"count":40972,"next":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=736","previous":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=734","results":[{"name":"R-unitquantreg","description":"Parametric quantile regression models for bounded data"},{"name":"R-units","description":"Measurement units for R vectors"},{"name":"R-unittest","description":"TAP-compliant unit testing"},{"name":"R-univariateML","description":"Maximum likelihood estimation for univariate densities"},{"name":"R-universals","description":"S3 generics for Bayesian analyses"},{"name":"R-UnivRNG","description":"Univariate Pseudo-Random Number Generation"},{"name":"R-unix","description":"POSIX system utilities"},{"name":"R-unjoin","description":"Separate a data frame by normalization"},{"name":"R-unmarked","description":"Models for data from unmarked animals"},{"name":"R-UNPaC","description":"Non-parametric cluster significance testing with reference to a unimodal null distribution"},{"name":"R-unrtf","description":"Extract text from Rich Text Format (RTF) documents"},{"name":"R-UPG","description":"Efficient Bayesian algorithms for binary and categorical data regression models"},{"name":"R-UpSetR","description":"More scalable alternative to Venn and Euler diagrams for visualizing intersecting sets"},{"name":"R-urca","description":"Unit root and cointegration tests for time series data"},{"name":"R-urlchecker","description":"Run CRAN URL checks from older R versions"},{"name":"R-urltools","description":"Vectorised tools for URL handling and parsing"},{"name":"R-uroot","description":"Unit root tests for seasonal time series"},{"name":"R-usedist","description":"Distance matrix utilities"},{"name":"R-usedthese","description":"Summarises package & function usage"},{"name":"R-usefun","description":"Collection of some useful functions"},{"name":"R-usemodels","description":"Make code snippets to fit models using the tidymodels framework"},{"name":"R-usethis","description":"Automate package and project setup"},{"name":"R-ustfd","description":"API client for U.S. Treasury fiscal data"},{"name":"R-utf8","description":"UTF-8 text processing"},{"name":"R-utility","description":"Construct, evaluate and plot value and utility functions"},{"name":"R-uuid","description":"Tools for generating and handling of UUIDs"},{"name":"R-uwot","description":"Uniform manifold approximation and projection (umap) method for dimensionality reduction"},{"name":"R-V8","description":"Embedded javascript and webassembly engine for R"},{"name":"R-validate","description":"Data validation infrastructure"},{"name":"R-validatetools","description":"Checking and simplifying validation rule sets"},{"name":"R-valorate","description":"Velocity and Accuracy of the LOg-RAnk TEst"},{"name":"R-vapour","description":"Access to the Geospatial Data Abstraction Library (GDAL)"},{"name":"R-VAR.etp","description":"VAR modelling: estimation, testing and prediction"},{"name":"R-varbvs","description":"Large-scale Bayesian variable selection using variational methods"},{"name":"R-VARDetect","description":"Multiple change point detection in structural VAR models"},{"name":"R-VaRES","description":"Computes value at risk and expected shortfall for over 100 parametric distributions"},{"name":"R-varhandle","description":"Functions for robust variable handling"},{"name":"R-variables","description":"Abstract descriptions of (yet) unobserved variables"},{"name":"R-varian","description":"R package for variability analysis"},{"name":"R-VarianceGamma","description":"Variance Gamma distribution"},{"name":"R-VariantAnnotation","description":"Annotation of genetic variants"},{"name":"R-varImp","description":"RF variable importance for arbitrary measures"},{"name":"R-vars","description":"VAR modelling"},{"name":"R-VarSelLCM","description":"Variable selection for model-based clustering of mixed-type data set with missing values"},{"name":"R-varSelRF","description":"Variable Selection via Random Forests"},{"name":"R-VARshrink","description":"Shrinkage estimation methods for vector autoregressive models"},{"name":"R-varycoef","description":"Model spatially varying coefficients"},{"name":"R-vccp","description":"Vine copula change point detection in multivariate time series"},{"name":"R-vcd","description":"Visualizing Categorical Data"},{"name":"R-vcdExtra","description":"Extensions and additions to vcd (Visualizing Categorical Data)"}]}