GET /api/v1/autocomplete/port/?format=api&page=721
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 42402,
    "next": "https://ports.macports.org/api/v1/autocomplete/port/?format=api&page=722",
    "previous": "https://ports.macports.org/api/v1/autocomplete/port/?format=api&page=720",
    "results": [
        {
            "name": "R-mutoss",
            "description": "Unified multiple testing procedures"
        },
        {
            "name": "R-mvabund",
            "description": "Statistical methods for analysing multivariate abundance data"
        },
        {
            "name": "R-mvcauchy",
            "description": "Multivariate Cauchy distribution"
        },
        {
            "name": "R-mvgam",
            "description": "Multivariate (Dynamic) Generalized Additive Models"
        },
        {
            "name": "R-mvgb",
            "description": "Generate multivariate sub-gaussian stable probabilities using the QRSVN algorithm"
        },
        {
            "name": "R-mvhtests",
            "description": "Multivariate Hypothesis Tests"
        },
        {
            "name": "R-mvinfluence",
            "description": "Influence measures and diagnostic plots for multivariate linear models"
        },
        {
            "name": "R-MVLM",
            "description": "Multivariate linear model with analytic p-values"
        },
        {
            "name": "R-mvmesh",
            "description": "Multivariate meshes and histograms in arbitrary dimensions"
        },
        {
            "name": "R-mvmeta",
            "description": "Multivariate and univariate meta-analysis and meta-regression"
        },
        {
            "name": "R-mvnfast",
            "description": "Fast multivariate Normal and Student t methods"
        },
        {
            "name": "R-mvnmle",
            "description": "ML estimation for multivariate normal data with missing values"
        },
        {
            "name": "R-mvnormtest",
            "description": "Normality test for multivariate variables"
        },
        {
            "name": "R-mvord",
            "description": "Multivariate Ordinal regression models"
        },
        {
            "name": "R-mvoutlier",
            "description": "Multivariate outlier detection"
        },
        {
            "name": "R-mvp",
            "description": "Fast symbolic multivariate polynomials"
        },
        {
            "name": "R-mvpd",
            "description": "Multivariate product distributions for elliptically-contoured distributions"
        },
        {
            "name": "R-mvProbit",
            "description": "Multivariate probit models"
        },
        {
            "name": "R-mvQuad",
            "description": "Methods for multivariate quadrature"
        },
        {
            "name": "R-mvrsquared",
            "description": "Compute the coefficient of determination for vector or matrix outcomes"
        },
        {
            "name": "R-mvst",
            "description": "Bayesian inference for the multivariate skew-t model"
        },
        {
            "name": "R-mvtnorm",
            "description": "Multivariate Normal and t distributions"
        },
        {
            "name": "R-MXM",
            "description": "Feature selection and Bayesian networks"
        },
        {
            "name": "R-mxsem",
            "description": "R-lavaan-like syntax for R-OpenMx models"
        },
        {
            "name": "R-mycor",
            "description": "Automatic correlation and regression test in a data.frame"
        },
        {
            "name": "R-n1qn1",
            "description": "Port of the Scilab n1qn1 module for unconstrained BFGS optimization"
        },
        {
            "name": "R-nabor",
            "description": "R package wrapping libnabo: fast k nearest neighbor search for low dimensions"
        },
        {
            "name": "R-nadiv",
            "description": "(Non)additive genetic relatedness matrices"
        },
        {
            "name": "R-naive",
            "description": "Empirical extrapolation of time feature patterns"
        },
        {
            "name": "R-naivebayes",
            "description": "High-performance implementation of the Naïve Bayes algorithm"
        },
        {
            "name": "R-nakagami",
            "description": "Functions for the Nakagami distribution"
        },
        {
            "name": "R-nanoarrow",
            "description": "Interface to the nanoarrow C library"
        },
        {
            "name": "R-nanonext",
            "description": "NNG (Nanomsg Next Gen) lightweight messaging library"
        },
        {
            "name": "R-nanotime",
            "description": "Nanosecond-resolution time support for R"
        },
        {
            "name": "R-nardl",
            "description": "Non-linear cointegrating autoregressive distributed lag model"
        },
        {
            "name": "R-narray",
            "description": "Subset- and name-aware array utility functions"
        },
        {
            "name": "R-NbClust",
            "description": "Determining the best number of clusters in a data set"
        },
        {
            "name": "R-nbfar",
            "description": "Negative binomial factor regression models"
        },
        {
            "name": "R-NBtsVarSel",
            "description": "Variable selection in a specific regression time series of counts"
        },
        {
            "name": "R-nc",
            "description": "Named capture to data tables"
        },
        {
            "name": "R-NCA",
            "description": "Necessary Condition Analysis"
        },
        {
            "name": "R-ncdf4",
            "description": "Interface to unidata netCDF (v. 4 or earlier) data files"
        },
        {
            "name": "R-ncdfgeom",
            "description": "NetCDF geometry and time series"
        },
        {
            "name": "R-nCDunnett",
            "description": "Noncentral Dunnettʼs test distribution"
        },
        {
            "name": "R-ncmeta",
            "description": "Straightforward NetCDF metadata"
        },
        {
            "name": "R-nCopula",
            "description": "Hierarchical archimedean copulas constructed with multivariate compound distributions"
        },
        {
            "name": "R-ncpen",
            "description": "Unified algorithm for non-convex penalized estimation for generalized linear models"
        },
        {
            "name": "R-ncvreg",
            "description": "Regularization paths for SCAD and MCP penalized regression models"
        },
        {
            "name": "R-nda",
            "description": "Generalized network-based dimensionality reduction and analysis"
        },
        {
            "name": "R-ndjson",
            "description": "Wicked-fast streaming JSON reader"
        }
    ]
}