HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 40910,
"next": "https://ports.macports.org/api/v1/autocomplete/port/?format=api&page=668",
"previous": "https://ports.macports.org/api/v1/autocomplete/port/?format=api&page=666",
"results": [
{
"name": "R-FuzzyLP",
"description": "Fuzzy Linear Programming"
},
{
"name": "R-FuzzyM",
"description": "Fuzzy cognitive maps operations"
},
{
"name": "R-FuzzyNumbers",
"description": "Tools to deal with fuzzy numbers"
},
{
"name": "R-FuzzyNumbers.Ext.2",
"description": "Tools to deal with fuzzy numbers"
},
{
"name": "R-FuzzyResampling",
"description": "Resampling methods for triangular and trapezoidal fuzzy numbers"
},
{
"name": "R-FuzzySimRes",
"description": "Simulation and resampling methods for epistemic fuzzy data"
},
{
"name": "R-FuzzySTs",
"description": "Fuzzy Statistical Tools"
},
{
"name": "R-fwb",
"description": "Fractional Weighted Bootstrap"
},
{
"name": "R-fwelnet",
"description": "Feature-Weighted Elastic Net"
},
{
"name": "R-fxl",
"description": "Single case design charting package"
},
{
"name": "R-fxregime",
"description": "Exchange rate regime analysis"
},
{
"name": "R-GA",
"description": "R package for optimization using genetic algorithms"
},
{
"name": "R-gam",
"description": "Generalized Additive Models"
},
{
"name": "R-gam.hp",
"description": "Hierarchical partitioning of adjusted R2 and explained deviance for generalized additive models"
},
{
"name": "R-gamair",
"description": "Data for GAMs: An Introduction with R"
},
{
"name": "R-gambin",
"description": "Fit the gambin model to species abundance distributions"
},
{
"name": "R-gamboostLSS",
"description": "Boosting methods for GAMLSS"
},
{
"name": "R-gamclass",
"description": "Functions and data for a course on modern regression and classification"
},
{
"name": "R-gamCopula",
"description": "Generalized additive models for bivariate conditional dependence structures and vine copulas"
},
{
"name": "R-GameTheory",
"description": "Cooperative Game Theory"
},
{
"name": "R-GameTheoryAllocation",
"description": "Tools for calculating allocations in Game Theory"
},
{
"name": "R-gamlr",
"description": "Gamma lasso regression"
},
{
"name": "R-gamlss",
"description": "Generalised Additive Models for Location Scale and Shape"
},
{
"name": "R-gamlss.add",
"description": "Extra additive terms for generalized additive models for location scale and shape"
},
{
"name": "R-gamlss.cens",
"description": "Fitting an interval response variable using gamlss.family distributions"
},
{
"name": "R-gamlss.countKinf",
"description": "Generating and fitting k-inflated discrete gamlss.family distributions"
},
{
"name": "R-gamlss.data",
"description": "Data for generalised additive models for location scale and shape"
},
{
"name": "R-gamlss.dist",
"description": "Distributions for generalized additive models for location scale and shape"
},
{
"name": "R-gamlss.foreach",
"description": "Parallel computations for distributional regression"
},
{
"name": "R-gamlss.ggplots",
"description": "Plotting functions for generalised additive models for location scale and shape"
},
{
"name": "R-gamlss.inf",
"description": "Fitting mixed (inflated and adjusted) distributions"
},
{
"name": "R-gamlss.lasso",
"description": "Extra lasso-type additive terms for GAMLSS"
},
{
"name": "R-gamlss.mx",
"description": "Fit mixture distributions with GAMLSS"
},
{
"name": "R-gamlss.spatial",
"description": "Spatial terms in generalized additive models for location scale and shape models"
},
{
"name": "R-gamlss.tr",
"description": "Generating and fitting truncated gamlss.family distributions"
},
{
"name": "R-gamm4",
"description": "Generalized Additive Mixed Models using mgcv and lme4"
},
{
"name": "R-Gammareg",
"description": "Classic Gamma regression: joint modelling of mean and shape parameters"
},
{
"name": "R-gammSlice",
"description": "Generalized additive mixed model analysis via slice sampling"
},
{
"name": "R-gamreg",
"description": "Robust and sparse regression via Gamma-divergence"
},
{
"name": "R-gamRR",
"description": "Calculate the relative risk for the GAM"
},
{
"name": "R-gamselBayes",
"description": "Bayesian generalized additive model selection"
},
{
"name": "R-gap",
"description": "Genetic Analysis Package"
},
{
"name": "R-gap.datasets",
"description": "Datasets for R-gap"
},
{
"name": "R-gapminder",
"description": "Data from Gapminder.org"
},
{
"name": "R-garchx",
"description": "Flexible and robust GARCH-X modelling"
},
{
"name": "R-gargle",
"description": "Manage the life cycle of your exported functions and arguments"
},
{
"name": "R-garma",
"description": "Fitting and forecasting Gegenbauer ARMA time series models"
},
{
"name": "R-garray",
"description": "Generalized array arithmetic for ragged arrays with named margins"
},
{
"name": "R-gasmodel",
"description": "Generalized autoregressive score models"
},
{
"name": "R-gasper",
"description": "Graph Signal Processing"
}
]
}