{"count":40975,"next":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=700","previous":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=698","results":[{"name":"R-ordinalClust","description":"Ordinal data clustering, co-clustering and classification"},{"name":"R-ordinalCont","description":"Ordinal regression analysis for continuous scales"},{"name":"R-ordinalNet","description":"Penalized ordinal regression"},{"name":"R-ore","description":"R interface to the Onigmo regular expression library"},{"name":"R-orf","description":"Ordered Random Forests"},{"name":"R-orgutils","description":"Helper functions for Org files"},{"name":"R-orientlib","description":"Support for orientation data"},{"name":"R-origami","description":"Generalized framework for cross-validation"},{"name":"R-orthoDr","description":"Semi-parametric dimension reduction models using orthogonality-constrained optimization"},{"name":"R-orthogonalsplinebasis","description":"Orthogonal b-splines"},{"name":"R-orthopolynom","description":"Collection of functions for orthogonal and orthonormal polynomials"},{"name":"R-oskeyring","description":"Raw system credential store access from R"},{"name":"R-osqp","description":"Quadratic programming solver using the OSQP library"},{"name":"R-otrimle","description":"Robust model-based clustering"},{"name":"R-outbreaks","description":"Collection of disease outbreak data"},{"name":"R-outliers","description":"Collection of tests commonly used for identifying outliers"},{"name":"R-outliertree","description":"Explainable outlier detection through decision tree conditioning"},{"name":"R-overdisp","description":"Overdispersion in count data multiple regression analysis"},{"name":"R-overlapping","description":"Estimation of overlapping in empirical distributions"},{"name":"R-OwenQ","description":"Owen Q-function"},{"name":"R-oz","description":"Functions for plotting Australia coastline and state boundaries"},{"name":"R-pack","description":"Convert values to/from raw vectors"},{"name":"R-packagefinder","description":"Search for R packages on CRAN, either directly from the R console or with an RStudio add-in"},{"name":"R-packcircles","description":"Algorithms to find arrangements of non-overlapping circles"},{"name":"R-packer","description":"Opinionated framework for using JavaScript"},{"name":"R-packrat","description":"Dependency management system for R"},{"name":"R-pacman","description":"Package management tool"},{"name":"R-pacs","description":"Supplementary R packages utils"},{"name":"R-Pade","description":"Padé approximant coefficients"},{"name":"R-padr","description":"Quickly get date–time data ready for analysis"},{"name":"R-pagedown","description":"Paginate the HTML output of R markdown with CSS for print"},{"name":"R-PAGFL","description":"Joint estimation of latent groups and group-specific coefficients in panel data models"},{"name":"R-pak","description":"Another approach to package installation"},{"name":"R-palasso","description":"Paired lasso regression"},{"name":"R-paletteer","description":"Comprehensive collection of color palettes"},{"name":"R-palm","description":"Functions to fit point process models using the Palm likelihood"},{"name":"R-palmerpenguins","description":"Palmer Archipelago (Antarctica) penguin data"},{"name":"R-palr","description":"Color palettes for data"},{"name":"R-pals","description":"Color palettes, colormaps and tools to evaluate them"},{"name":"R-pamm","description":"Power analysis for random effects in mixed models"},{"name":"R-pammtools","description":"Piece-wise exponential additive mixed modeling tools for survival analysis"},{"name":"R-pamr","description":"Prediction Analysis for Microarrays"},{"name":"R-pan","description":"Multiple imputation for multivariate panel or clustered data"},{"name":"R-pander","description":"R Pandoc writer"},{"name":"R-pandoc","description":"Manage and run Pandoc from R"},{"name":"R-panelPomp","description":"Inference for panel partially observed Markov processes"},{"name":"R-panelr","description":"Regression models and utilities for repeated measures and panel data"},{"name":"R-panelsummary","description":"Create publication-ready regression tables with panels"},{"name":"R-panelView","description":"Visualize panel data"},{"name":"R-papaja","description":"Prepare American Psychological Association Journal articles with R markdown"}]}