HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 40961,
"next": "https://ports.macports.org/api/v1/autocomplete/port/?format=api&page=639",
"previous": "https://ports.macports.org/api/v1/autocomplete/port/?format=api&page=637",
"results": [
{
"name": "R-aods3",
"description": "Analysis of overdispersed data using S3 methods"
},
{
"name": "R-aoos",
"description": "Another Object Orientation System"
},
{
"name": "R-aorsf",
"description": "Accelerated oblique random survival forests"
},
{
"name": "R-apcluster",
"description": "Affinity Propagation Clustering"
},
{
"name": "R-ape",
"description": "Analyses of phylogenetics and evolution"
},
{
"name": "R-apeglm",
"description": "Approximate posterior estimation for GLM coefficients"
},
{
"name": "R-apex",
"description": "Phylogenetic methods for multiple gene data"
},
{
"name": "R-aplore3",
"description": "Datasets from Applied Logistic Regression (3rd Ed., 2013)"
},
{
"name": "R-aplot",
"description": "Decorate a ggplot with associated information"
},
{
"name": "R-aplpack",
"description": "Another plot package"
},
{
"name": "R-APML0",
"description": "Augmented and penalized minimization method l0"
},
{
"name": "R-apollo",
"description": "Tools for choice model estimation and application"
},
{
"name": "R-app",
"description": "R GUI for Mac OS X"
},
{
"name": "R-AppliedPredictiveModeling",
"description": "Functions and datasets for Applied Predictive Modelling"
},
{
"name": "R-apsimx",
"description": "R package for APSIM-X"
},
{
"name": "R-ar.matrix",
"description": "Simulate autoregressive data from precision matrices"
},
{
"name": "R-archdata",
"description": "Example datasets from archæological research"
},
{
"name": "R-archive",
"description": "Multi-format archive and compression support"
},
{
"name": "R-archivist",
"description": "Tools for storing, restoring and searching for R objects"
},
{
"name": "R-ARDL",
"description": "ARDL, ECM and bounds-test for cointegration"
},
{
"name": "R-ardl.nardl",
"description": "Linear and non-linear autoregressive distributed lag models"
},
{
"name": "R-area",
"description": "Calculate area of triangles and polygons"
},
{
"name": "R-areal",
"description": "Areal weighted interpolation"
},
{
"name": "R-arfima",
"description": "Fractional ARIMA (and other long memory) time series modelling"
},
{
"name": "R-ARGOS",
"description": "Automatic Regression for Governing Equations (ARGOS)"
},
{
"name": "R-argus",
"description": "Random variate generator for the Argus distribution"
},
{
"name": "R-aricode",
"description": "Efficient computations of standard clustering comparison measures"
},
{
"name": "R-arima2",
"description": "Likelihood-based inference for ARIMA modelling"
},
{
"name": "R-arkhe",
"description": "Tools for cleaning rectangular data"
},
{
"name": "R-arm",
"description": "Data analysis using regression and multilevel/hierarchical models"
},
{
"name": "R-armadillo",
"description": "Armadillo interface"
},
{
"name": "R-aroma.light",
"description": "Light-weight methods for normalization and visualization of microarray data"
},
{
"name": "R-arrangements",
"description": "Fast generators and iterators for permutations, combinations, integer partitions and compositions"
},
{
"name": "R-arrApply",
"description": "Apply a function to a margin of an array"
},
{
"name": "R-arrayhelpers",
"description": "Convenience functions for arrays"
},
{
"name": "R-arrow",
"description": "Integration with Apache Arrow"
},
{
"name": "R-ars",
"description": "Adaptive Rejection Sampling"
},
{
"name": "R-aRtsy",
"description": "Generative art with R-ggplot2"
},
{
"name": "R-arules",
"description": "Mining association rules and frequent item sets"
},
{
"name": "R-arulesCBA",
"description": "Classification based on association rules"
},
{
"name": "R-arulesViz",
"description": "Visualize association rules and frequent item sets"
},
{
"name": "R-ascii",
"description": "Export R objects to several markup languages"
},
{
"name": "R-ash",
"description": "David Scott’s ASH routines"
},
{
"name": "R-ashr",
"description": "Methods for adaptive shrinkage, using Empirical Bayes"
},
{
"name": "R-asht",
"description": "Applied Statistical Hypothesis Tests"
},
{
"name": "R-AsioHeaders",
"description": "Asio C++ headers"
},
{
"name": "R-askgpt",
"description": "Chat interface built on top of OpenAI API endpoints"
},
{
"name": "R-askpass",
"description": "Safe password entry for R, Git and SSH"
},
{
"name": "R-assertive.base",
"description": "Lightweight core of the Assertive package"
},
{
"name": "R-assertive.code",
"description": "Assertions to check the properties of code"
}
]
}