GET /api/v1/autocomplete/port/?format=api&page=745
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 41973,
    "next": "https://ports.macports.org/api/v1/autocomplete/port/?format=api&page=746",
    "previous": "https://ports.macports.org/api/v1/autocomplete/port/?format=api&page=744",
    "results": [
        {
            "name": "R-splus2R",
            "description": "Supplemental S-PLUS functionality in R"
        },
        {
            "name": "R-spMC",
            "description": "Continuous-lag spatial Markov chains"
        },
        {
            "name": "R-spmodel",
            "description": "Spatial statistical modelling and prediction"
        },
        {
            "name": "R-spNNGP",
            "description": "Spatial regression models for large datasets using nearest neighbor Gaussian processes"
        },
        {
            "name": "R-spooky",
            "description": "Time feature extrapolation using spectral analysis and Jack–Knife resampling"
        },
        {
            "name": "R-spray",
            "description": "Sparse arrays and multivariate polynomials"
        },
        {
            "name": "R-sps",
            "description": "Sequential Poisson Sampling"
        },
        {
            "name": "R-spsi",
            "description": "Shape-preserving uni-variate and bi-variate spline interpolation"
        },
        {
            "name": "R-spTimer",
            "description": "Spatio-temporal Bayesian modelling"
        },
        {
            "name": "R-SQL",
            "description": "Execute SQL statements"
        },
        {
            "name": "R-SQLDataFrame",
            "description": "Representation of SQL database in DataFrame metaphor"
        },
        {
            "name": "R-sqldf",
            "description": "Manipulate R data frames using SQL"
        },
        {
            "name": "R-sqlhelper",
            "description": "Easier SQL integration"
        },
        {
            "name": "R-sqlHelpers",
            "description": "Collection of SQL utilities"
        },
        {
            "name": "R-sqliter",
            "description": "Connection wrapper to SQLite databases"
        },
        {
            "name": "R-sqliteutils",
            "description": "Utility functions for SQLite"
        },
        {
            "name": "R-SQRL",
            "description": "Enhanced interaction with ODBC databases"
        },
        {
            "name": "R-SQUAREM",
            "description": "Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms"
        },
        {
            "name": "R-squid",
            "description": "Statistical Quantification of Individual Differences"
        },
        {
            "name": "R-srlars",
            "description": "Split robust least angle regression"
        },
        {
            "name": "R-ssanv",
            "description": "Sample size adjusted for non-adherence or variability of input parameters"
        },
        {
            "name": "R-SSBtools",
            "description": "Statistics Norway’s miscellaneous tools"
        },
        {
            "name": "R-SSEparser",
            "description": "Parse Server-Sent Events"
        },
        {
            "name": "R-SSGL",
            "description": "Spike-and-Slab Group Lasso for group-regularized generalized linear models"
        },
        {
            "name": "R-ssgraph",
            "description": "Bayesian graph structure learning using spike-and-slab priors"
        },
        {
            "name": "R-ssh",
            "description": "Secure shell (SSH) client for R"
        },
        {
            "name": "R-ssize",
            "description": "Estimate microarray sample size"
        },
        {
            "name": "R-SSLR",
            "description": "Semi-supervised classification, regression and clustering methods"
        },
        {
            "name": "R-SSN",
            "description": "Spatial modelling on stream networks"
        },
        {
            "name": "R-SSN2",
            "description": "Spatial modelling on stream networks"
        },
        {
            "name": "R-SSNbayes",
            "description": "Bayesian spatio-temporal analysis in stream networks"
        },
        {
            "name": "R-SSRA",
            "description": "Sakai Sequential Relation Analysis"
        },
        {
            "name": "R-SSsimple",
            "description": "Simulate, solve state space models"
        },
        {
            "name": "R-SSVS",
            "description": "Functions for performing stochastic search variable selection (SSVS)"
        },
        {
            "name": "R-stable",
            "description": "Probability functions and generalized regression models for stable distributions"
        },
        {
            "name": "R-stabledist",
            "description": "Stable distribution functions"
        },
        {
            "name": "R-StableEstim",
            "description": "Estimate the four parameters of stable laws using different methods"
        },
        {
            "name": "R-stableGR",
            "description": "Stable Gelman–Rubin diagnostic for Markov Chain Monte Carlo"
        },
        {
            "name": "R-stablelearner",
            "description": "Stability assessment of statistical learning methods"
        },
        {
            "name": "R-stabs",
            "description": "Stability selection with error control"
        },
        {
            "name": "R-stacks",
            "description": "Tidy model stacking"
        },
        {
            "name": "R-staggered",
            "description": "Efficient estimation under staggered treatment timing"
        },
        {
            "name": "R-stan4bart",
            "description": "Uses Stan sampler and math library to semi-parametrically fit linear and multi-level models with additive Bayesian Additive Regression Tree (BART) components"
        },
        {
            "name": "R-StanHeaders",
            "description": "C++ header files for Stan"
        },
        {
            "name": "R-STAR",
            "description": "Spike train analysis with R"
        },
        {
            "name": "R-STAREG",
            "description": "Empirical Bayes approach for replicability analysis across two studies"
        },
        {
            "name": "R-stargazer",
            "description": "Well-formatted regression and summary statistics tables"
        },
        {
            "name": "R-starma",
            "description": "Space–Time Auto-Regressive Moving Average processes"
        },
        {
            "name": "R-starnet",
            "description": "Stacked elastic net"
        },
        {
            "name": "R-stars",
            "description": "Spatiotemporal arrays, raster and vector data cubes"
        }
    ]
}