GET /api/v1/autocomplete/port/?format=api&page=699
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 40973,
    "next": "https://ports.macports.org/api/v1/autocomplete/port/?format=api&page=700",
    "previous": "https://ports.macports.org/api/v1/autocomplete/port/?format=api&page=698",
    "results": [
        {
            "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"
        },
        {
            "name": "R-parabar",
            "description": "Progress bar for parallel tasks"
        },
        {
            "name": "R-paradox",
            "description": "Define and work with parameter spaces for complex algorithms"
        }
    ]
}